default search action
BibTeX records: Issei Sato
@inproceedings{DBLP:conf/acl/HayakawaS25,
author = {Daichi Hayakawa and
Issei Sato},
title = {Theoretical Analysis of Hierarchical Language Recognition and Generation
by Transformers without Positional Encoding},
booktitle = {{ACL} {(1)}},
pages = {30777--30834},
publisher = {Association for Computational Linguistics},
year = {2025}
}
@inproceedings{DBLP:conf/iclr/HasegawaS25,
author = {Naoya Hasegawa and
Issei Sato},
title = {Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware
Decision Boundary Adjustment},
booktitle = {{ICLR}},
publisher = {OpenReview.net},
year = {2025}
}
@inproceedings{DBLP:conf/iclr/KajitsukaS25,
author = {Tokio Kajitsuka and
Issei Sato},
title = {On the Optimal Memorization Capacity of Transformers},
booktitle = {{ICLR}},
publisher = {OpenReview.net},
year = {2025}
}
@article{DBLP:journals/corr/abs-2501-18879,
author = {Takeshi Koshizuka and
Issei Sato},
title = {Understanding Generalization in Physics Informed Models through Affine
Variety Dimensions},
journal = {CoRR},
volume = {abs/2501.18879},
year = {2025}
}
@article{DBLP:journals/corr/abs-2502-00213,
author = {Akiyoshi Tomihari and
Issei Sato},
title = {Understanding Why Adam Outperforms {SGD:} Gradient Heterogeneity in
Transformers},
journal = {CoRR},
volume = {abs/2502.00213},
year = {2025}
}
@article{DBLP:journals/corr/abs-2502-03826,
author = {Jinya Sakurai and
Issei Sato},
title = {FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large
Language Model-Assisted Detection and Attribute Rebalancing},
journal = {CoRR},
volume = {abs/2502.03826},
year = {2025}
}
@article{DBLP:journals/corr/abs-2505-19245,
author = {Kevin Xu and
Issei Sato},
title = {To CoT or To Loop? {A} Formal Comparison Between Chain-of-Thought
and Looped Transformers},
journal = {CoRR},
volume = {abs/2505.19245},
year = {2025}
}
@article{DBLP:journals/corr/abs-2505-22081,
author = {Shun Sato and
Issei Sato},
title = {Can Test-time Computation Mitigate Memorization Bias in Neural Symbolic
Regression?},
journal = {CoRR},
volume = {abs/2505.22081},
year = {2025}
}
@article{DBLP:journals/corr/abs-2509-20829,
author = {Keitaro Sakamoto and
Issei Sato},
title = {Explaining Grokking and Information Bottleneck through Neural Collapse
Emergence},
journal = {CoRR},
volume = {abs/2509.20829},
year = {2025}
}
@article{DBLP:journals/corr/abs-2509-25239,
author = {Kevin Xu and
Issei Sato},
title = {A Formal Comparison Between Chain-of-Thought and Latent Thought},
journal = {CoRR},
volume = {abs/2509.25239},
year = {2025}
}
@article{DBLP:journals/tmlr/SakamotoS24,
author = {Keitaro Sakamoto and
Issei Sato},
title = {End-to-End Training Induces Information Bottleneck through Layer-Role
Differentiation: {A} Comparative Analysis with Layer-wise Training},
journal = {Trans. Mach. Learn. Res.},
volume = {2024},
year = {2024}
}
@inproceedings{DBLP:conf/iclr/HasegawaS24,
author = {Naoya Hasegawa and
Issei Sato},
title = {Exploring Weight Balancing on Long-Tailed Recognition Problem},
booktitle = {{ICLR}},
publisher = {OpenReview.net},
year = {2024}
}
@inproceedings{DBLP:conf/iclr/KajitsukaS24,
author = {Tokio Kajitsuka and
Issei Sato},
title = {Are Transformers with One Layer Self-Attention Using Low-Rank Weight
Matrices Universal Approximators?},
booktitle = {{ICLR}},
publisher = {OpenReview.net},
year = {2024}
}
@inproceedings{DBLP:conf/kdd/YokoiS24,
author = {Soma Yokoi and
Issei Sato},
title = {Top-Down Bayesian Posterior Sampling for Sum-Product Networks},
booktitle = {{KDD}},
pages = {3977--3988},
publisher = {{ACM}},
year = {2024}
}
@inproceedings{DBLP:conf/nips/KoshizukaFTS24,
author = {Takeshi Koshizuka and
Masahiro Fujisawa and
Yusuke Tanaka and
Issei Sato},
title = {Understanding the Expressivity and Trainability of Fourier Neural
Operator: {A} Mean-Field Perspective},
booktitle = {NeurIPS},
year = {2024}
}
@inproceedings{DBLP:conf/nips/TomihariS24,
author = {Akiyoshi Tomihari and
Issei Sato},
title = {Understanding Linear Probing then Fine-tuning Language Models from
{NTK} Perspective},
booktitle = {NeurIPS},
year = {2024}
}
@article{DBLP:journals/corr/abs-2402-09050,
author = {Keitaro Sakamoto and
Issei Sato},
title = {End-to-End Training Induces Information Bottleneck through Layer-Role
Differentiation: {A} Comparative Analysis with Layer-wise Training},
journal = {CoRR},
volume = {abs/2402.09050},
year = {2024}
}
@article{DBLP:journals/corr/abs-2405-16747,
author = {Akiyoshi Tomihari and
Issei Sato},
title = {Understanding Linear Probing then Fine-tuning Language Models from
{NTK} Perspective},
journal = {CoRR},
volume = {abs/2405.16747},
year = {2024}
}
@article{DBLP:journals/corr/abs-2406-12353,
author = {Soma Yokoi and
Issei Sato},
title = {Top-Down Bayesian Posterior Sampling for Sum-Product Networks},
journal = {CoRR},
volume = {abs/2406.12353},
year = {2024}
}
@article{DBLP:journals/corr/abs-2409-17582,
author = {Naoya Hasegawa and
Issei Sato},
title = {Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware
Decision Boundary Adjustment},
journal = {CoRR},
volume = {abs/2409.17582},
year = {2024}
}
@article{DBLP:journals/corr/abs-2409-17625,
author = {Keitaro Sakamoto and
Issei Sato},
title = {Benign or Not-Benign Overfitting in Token Selection of Attention Mechanism},
journal = {CoRR},
volume = {abs/2409.17625},
year = {2024}
}
@article{DBLP:journals/corr/abs-2409-17677,
author = {Tokio Kajitsuka and
Issei Sato},
title = {Optimal Memorization Capacity of Transformers},
journal = {CoRR},
volume = {abs/2409.17677},
year = {2024}
}
@article{DBLP:journals/corr/abs-2410-01405,
author = {Kevin Xu and
Issei Sato},
title = {On Expressive Power of Looped Transformers: Theoretical Analysis and
Enhancement via Timestep Encoding},
journal = {CoRR},
volume = {abs/2410.01405},
year = {2024}
}
@article{DBLP:journals/corr/abs-2410-12413,
author = {Daichi Hayakawa and
Issei Sato},
title = {Theoretical Analysis of Hierarchical Language Recognition and Generation
by Transformers without Positional Encoding},
journal = {CoRR},
volume = {abs/2410.12413},
year = {2024}
}
@article{DBLP:journals/corr/abs-2412-11459,
author = {Shuo Wang and
Issei Sato},
title = {Understanding Knowledge Hijack Mechanism in In-context Learning through
Associative Memory},
journal = {CoRR},
volume = {abs/2412.11459},
year = {2024}
}
@inproceedings{DBLP:conf/iclr/KoshizukaS23,
author = {Takeshi Koshizuka and
Issei Sato},
title = {Neural Lagrangian Schr{\"{o}}dinger Bridge: Diffusion Modeling
for Population Dynamics},
booktitle = {{ICLR}},
publisher = {OpenReview.net},
year = {2023}
}
@inproceedings{DBLP:conf/nips/XieXZSS23,
author = {Zeke Xie and
Zhiqiang Xu and
Jingzhao Zhang and
Issei Sato and
Masashi Sugiyama},
title = {On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them:
{A} Gradient-Norm Perspective},
booktitle = {NeurIPS},
year = {2023}
}
@article{DBLP:journals/corr/abs-2305-16573,
author = {Naoya Hasegawa and
Issei Sato},
title = {Exploring Weight Balancing on Long-Tailed Recognition Problem},
journal = {CoRR},
volume = {abs/2305.16573},
year = {2023}
}
@article{DBLP:journals/corr/abs-2307-14023,
author = {Tokio Kajitsuka and
Issei Sato},
title = {Are Transformers with One Layer Self-Attention Using Low-Rank Weight
Matrices Universal Approximators?},
journal = {CoRR},
volume = {abs/2307.14023},
year = {2023}
}
@article{DBLP:journals/corr/abs-2310-06379,
author = {Takeshi Koshizuka and
Masahiro Fujisawa and
Yusuke Tanaka and
Issei Sato},
title = {Initialization Bias of Fourier Neural Operator: Revisiting the Edge
of Chaos},
journal = {CoRR},
volume = {abs/2310.06379},
year = {2023}
}
@article{DBLP:journals/corr/abs-2310-17951,
author = {Shuo Wang and
Issei Sato},
title = {Understanding Parameter Saliency via Extreme Value Theory},
journal = {CoRR},
volume = {abs/2310.17951},
year = {2023}
}
@article{DBLP:journals/neco/CuiS22,
author = {Zhenghang Cui and
Issei Sato},
title = {Active Classification With Uncertainty Comparison Queries},
journal = {Neural Comput.},
volume = {34},
number = {3},
pages = {781--803},
year = {2022}
}
@inproceedings{DBLP:conf/aistats/0002SXSS22,
author = {Han Bao and
Takuya Shimada and
Liyuan Xu and
Issei Sato and
Masashi Sugiyama},
title = {Pairwise Supervision Can Provably Elicit a Decision Boundary},
booktitle = {{AISTATS}},
series = {Proceedings of Machine Learning Research},
volume = {151},
pages = {2618--2640},
publisher = {{PMLR}},
year = {2022}
}
@inproceedings{DBLP:conf/aistats/FutamiIUSS22,
author = {Futoshi Futami and
Tomoharu Iwata and
Naonori Ueda and
Issei Sato and
Masashi Sugiyama},
title = {Predictive variational Bayesian inference as risk-seeking optimization},
booktitle = {{AISTATS}},
series = {Proceedings of Machine Learning Research},
volume = {151},
pages = {5051--5083},
publisher = {{PMLR}},
year = {2022}
}
@inproceedings{DBLP:conf/iclr/TokuiS22,
author = {Seiya Tokui and
Issei Sato},
title = {Disentanglement Analysis with Partial Information Decomposition},
booktitle = {{ICLR}},
publisher = {OpenReview.net},
year = {2022}
}
@inproceedings{DBLP:conf/icml/XieWZSS22,
author = {Zeke Xie and
Xinrui Wang and
Huishuai Zhang and
Issei Sato and
Masashi Sugiyama},
title = {Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate
and Momentum},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {162},
pages = {24430--24459},
publisher = {{PMLR}},
year = {2022}
}
@inproceedings{DBLP:conf/ijcai/NozawaS22,
author = {Kento Nozawa and
Issei Sato},
title = {Evaluation Methods for Representation Learning: {A} Survey},
booktitle = {{IJCAI}},
pages = {5556--5563},
publisher = {ijcai.org},
year = {2022}
}
@inproceedings{DBLP:conf/nips/HouS22,
author = {Mingcheng Hou and
Issei Sato},
title = {A Closer Look at Prototype Classifier for Few-shot Image Classification},
booktitle = {NeurIPS},
year = {2022}
}
@inproceedings{DBLP:conf/nips/SakamotoS22,
author = {Keitaro Sakamoto and
Issei Sato},
title = {Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective},
booktitle = {NeurIPS},
year = {2022}
}
@article{DBLP:journals/corr/abs-2204-04853,
author = {Takeshi Koshizuka and
Issei Sato},
title = {Neural Lagrangian Schr{\"{o}}dinger Bridge},
journal = {CoRR},
volume = {abs/2204.04853},
year = {2022}
}
@article{DBLP:journals/corr/abs-2204-08226,
author = {Kento Nozawa and
Issei Sato},
title = {Empirical Evaluation and Theoretical Analysis for Representation Learning:
{A} Survey},
journal = {CoRR},
volume = {abs/2204.08226},
year = {2022}
}
@article{DBLP:journals/corr/abs-2204-13849,
author = {Takahiro Suzuki and
Shouhei Hanaoka and
Issei Sato},
title = {Goldilocks-curriculum Domain Randomization and Fractal Perlin Noise
with Application to Sim2Real Pneumonia Lesion Detection},
journal = {CoRR},
volume = {abs/2204.13849},
year = {2022}
}
@article{DBLP:journals/corr/abs-2205-07320,
author = {Keitaro Sakamoto and
Issei Sato},
title = {Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective},
journal = {CoRR},
volume = {abs/2205.07320},
year = {2022}
}
@article{DBLP:journals/corr/abs-2206-01606,
author = {Futoshi Futami and
Tomoharu Iwata and
Naonori Ueda and
Issei Sato and
Masashi Sugiyama},
title = {Excess risk analysis for epistemic uncertainty with application to
variational inference},
journal = {CoRR},
volume = {abs/2206.01606},
year = {2022}
}
@article{DBLP:journals/cars/ShibataHNNSSHA21,
author = {Hisaichi Shibata and
Shouhei Hanaoka and
Yukihiro Nomura and
Takahiro Nakao and
Issei Sato and
Daisuke Sato and
Naoto Hayashi and
Osamu Abe},
title = {Versatile anomaly detection method for medical images with semi-supervised
flow-based generative models},
journal = {Int. J. Comput. Assist. Radiol. Surg.},
volume = {16},
number = {12},
pages = {2261--2267},
year = {2021}
}
@article{DBLP:journals/cgf/ChongSSI21,
author = {Toby Long Hin Chong and
I{-}Chao Shen and
Issei Sato and
Takeo Igarashi},
title = {Interactive Optimization of Generative Image Modelling using Sequential
Subspace Search and Content-based Guidance},
journal = {Comput. Graph. Forum},
volume = {40},
number = {1},
pages = {279--292},
year = {2021}
}
@article{DBLP:journals/entropy/FutamiIUS21,
author = {Futoshi Futami and
Tomoharu Iwata and
Naonori Ueda and
Issei Sato},
title = {Accelerated Diffusion-Based Sampling by the Non-Reversible Dynamics
with Skew-Symmetric Matrices},
journal = {Entropy},
volume = {23},
number = {8},
pages = {993},
year = {2021}
}
@article{DBLP:journals/jmlr/FujisawaS21,
author = {Masahiro Fujisawa and
Issei Sato},
title = {Multilevel Monte Carlo Variational Inference},
journal = {J. Mach. Learn. Res.},
volume = {22},
pages = {278:1--278:44},
year = {2021}
}
@article{DBLP:journals/neco/ShimadaBSS21,
author = {Takuya Shimada and
Han Bao and
Issei Sato and
Masashi Sugiyama},
title = {Classification From Pairwise Similarities/Dissimilarities and Unlabeled
Data via Empirical Risk Minimization},
journal = {Neural Comput.},
volume = {33},
number = {5},
pages = {1234--1268},
year = {2021}
}
@article{DBLP:journals/neco/XieHFSTS21,
author = {Zeke Xie and
Fengxiang He and
Shaopeng Fu and
Issei Sato and
Dacheng Tao and
Masashi Sugiyama},
title = {Artificial Neural Variability for Deep Learning: On Overfitting, Noise
Memorization, and Catastrophic Forgetting},
journal = {Neural Comput.},
volume = {33},
number = {8},
pages = {2163--2192},
year = {2021}
}
@article{DBLP:journals/neco/TsuchiyaCSS21,
author = {Taira Tsuchiya and
Nontawat Charoenphakdee and
Issei Sato and
Masashi Sugiyama},
title = {Semisupervised Ordinal Regression Based on Empirical Risk Minimization},
journal = {Neural Comput.},
volume = {33},
number = {12},
pages = {3361--3412},
year = {2021}
}
@inproceedings{DBLP:conf/aistats/FujisawaTSS21,
author = {Masahiro Fujisawa and
Takeshi Teshima and
Issei Sato and
Masashi Sugiyama},
title = {{\(\gamma\)}-ABC: Outlier-Robust Approximate Bayesian Computation
Based on a Robust Divergence Estimator},
booktitle = {{AISTATS}},
series = {Proceedings of Machine Learning Research},
volume = {130},
pages = {1783--1791},
publisher = {{PMLR}},
year = {2021}
}
@inproceedings{DBLP:conf/aistats/MimoriSMS21,
author = {Takahiro Mimori and
Keiko Sasada and
Hirotaka Matsui and
Issei Sato},
title = {Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions
in Medical Domain},
booktitle = {{AISTATS}},
series = {Proceedings of Machine Learning Research},
volume = {130},
pages = {3664--3672},
publisher = {{PMLR}},
year = {2021}
}
@inproceedings{DBLP:conf/iclr/XieSS21,
author = {Zeke Xie and
Issei Sato and
Masashi Sugiyama},
title = {A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient
Descent Exponentially Favors Flat Minima},
booktitle = {{ICLR}},
publisher = {OpenReview.net},
year = {2021}
}
@inproceedings{DBLP:conf/icml/LuL0SS21,
author = {Nan Lu and
Shida Lei and
Gang Niu and
Issei Sato and
Masashi Sugiyama},
title = {Binary Classification from Multiple Unlabeled Datasets via Surrogate
Set Classification},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {139},
pages = {7134--7144},
publisher = {{PMLR}},
year = {2021}
}
@inproceedings{DBLP:conf/nips/NozawaS21,
author = {Kento Nozawa and
Issei Sato},
title = {Understanding Negative Samples in Instance Discriminative Self-supervised
Representation Learning},
booktitle = {NeurIPS},
pages = {5784--5797},
year = {2021}
}
@inproceedings{DBLP:conf/nips/FutamiIUSS21,
author = {Futoshi Futami and
Tomoharu Iwata and
Naonori Ueda and
Issei Sato and
Masashi Sugiyama},
title = {Loss function based second-order Jensen inequality and its application
to particle variational inference},
booktitle = {NeurIPS},
pages = {6803--6815},
year = {2021}
}
@inproceedings{DBLP:conf/sas/KobayashiSSU21,
author = {Naoki Kobayashi and
Taro Sekiyama and
Issei Sato and
Hiroshi Unno},
title = {Toward Neural-Network-Guided Program Synthesis and Verification},
booktitle = {{SAS}},
series = {Lecture Notes in Computer Science},
volume = {12913},
pages = {236--260},
publisher = {Springer},
year = {2021}
}
@inproceedings{DBLP:conf/siggraph/Yue0SI21,
author = {Yonghao Yue and
Yuki Koyama and
Issei Sato and
Takeo Igarashi},
title = {User interfaces for high-dimensional design problems: from theories
to implementations},
booktitle = {{SIGGRAPH} Courses},
pages = {11:1--11:34},
publisher = {{ACM}},
year = {2021}
}
@article{DBLP:journals/corr/abs-2102-00678,
author = {Shida Lei and
Nan Lu and
Gang Niu and
Issei Sato and
Masashi Sugiyama},
title = {Binary Classification from Multiple Unlabeled Datasets via Surrogate
Set Classification},
journal = {CoRR},
volume = {abs/2102.00678},
year = {2021}
}
@article{DBLP:journals/corr/abs-2102-06866,
author = {Kento Nozawa and
Issei Sato},
title = {Understanding Negative Samples in Instance Discriminative Self-supervised
Representation Learning},
journal = {CoRR},
volume = {abs/2102.06866},
year = {2021}
}
@article{DBLP:journals/corr/abs-2102-12232,
author = {Kenshin Abe and
Takanori Maehara and
Issei Sato},
title = {Abelian Neural Networks},
journal = {CoRR},
volume = {abs/2102.12232},
year = {2021}
}
@article{DBLP:journals/corr/abs-2103-09414,
author = {Naoki Kobayashi and
Taro Sekiyama and
Issei Sato and
Hiroshi Unno},
title = {Toward Neural-Network-Guided Program Synthesis and Verification},
journal = {CoRR},
volume = {abs/2103.09414},
year = {2021}
}
@article{DBLP:journals/corr/abs-2106-05010,
author = {Futoshi Futami and
Tomoharu Iwata and
Naonori Ueda and
Issei Sato and
Masashi Sugiyama},
title = {Loss function based second-order Jensen inequality and its application
to particle variational inference},
journal = {CoRR},
volume = {abs/2106.05010},
year = {2021}
}
@article{DBLP:journals/corr/abs-2108-13753,
author = {Seiya Tokui and
Issei Sato},
title = {Disentanglement Analysis with Partial Information Decomposition},
journal = {CoRR},
volume = {abs/2108.13753},
year = {2021}
}
@article{DBLP:journals/corr/abs-2110-05076,
author = {Mingcheng Hou and
Issei Sato},
title = {A Closer Look at Prototype Classifier for Few-shot Image Classification},
journal = {CoRR},
volume = {abs/2110.05076},
year = {2021}
}
@article{DBLP:journals/cars/NomuraMHHSYMA20,
author = {Yukihiro Nomura and
Soichiro Miki and
Naoto Hayashi and
Shouhei Hanaoka and
Issei Sato and
Takeharu Yoshikawa and
Yoshitaka Masutani and
Osamu Abe},
title = {Novel platform for development, training, and validation of computer-assisted
detection/diagnosis software},
journal = {Int. J. Comput. Assist. Radiol. Surg.},
volume = {15},
number = {4},
pages = {661--672},
year = {2020}
}
@article{DBLP:journals/ml/YokoiOS20,
author = {Soma Yokoi and
Takuma Otsuka and
Issei Sato},
title = {Weak approximation of transformed stochastic gradient {MCMC}},
journal = {Mach. Learn.},
volume = {109},
number = {9-10},
pages = {1903--1923},
year = {2020}
}
@article{DBLP:journals/neco/CuiCSS20,
author = {Zhenghang Cui and
Nontawat Charoenphakdee and
Issei Sato and
Masashi Sugiyama},
title = {Classification from Triplet Comparison Data},
journal = {Neural Comput.},
volume = {32},
number = {3},
pages = {659--681},
year = {2020}
}
@article{DBLP:journals/tjs/NomuraSHHNTHSMY20,
author = {Yukihiro Nomura and
Issei Sato and
Toshihiro Hanawa and
Shouhei Hanaoka and
Takahiro Nakao and
Tomomi Takenaga and
Tetsuya Hoshino and
Yuji Sekiya and
Soichiro Miki and
Takeharu Yoshikawa and
Naoto Hayashi and
Osamu Abe},
title = {Development of training environment for deep learning with medical
images on supercomputer system based on asynchronous parallel Bayesian
optimization},
journal = {J. Supercomput.},
volume = {76},
number = {9},
pages = {7315--7332},
year = {2020}
}
@article{DBLP:journals/tog/KoyamaSG20,
author = {Yuki Koyama and
Issei Sato and
Masataka Goto},
title = {Sequential gallery for interactive visual design optimization},
journal = {{ACM} Trans. Graph.},
volume = {39},
number = {4},
pages = {88},
year = {2020}
}
@inproceedings{DBLP:conf/icip/YamadaAHS20,
author = {Mantaro Yamada and
Hiroaki Adachi and
Ryoichi Horisaki and
Issei Sato},
title = {A Comparison Of Compressed Sensing And Dnn Based Reconstruction For
Ghost Motion Imaging},
booktitle = {{ICIP}},
pages = {2910--2914},
publisher = {{IEEE}},
year = {2020}
}
@inproceedings{DBLP:conf/icml/FutamiSS20,
author = {Futoshi Futami and
Issei Sato and
Masashi Sugiyama},
title = {Accelerating the diffusion-based ensemble sampling by non-reversible
dynamics},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {3337--3347},
publisher = {{PMLR}},
year = {2020}
}
@inproceedings{DBLP:conf/icml/TeshimaSS20,
author = {Takeshi Teshima and
Issei Sato and
Masashi Sugiyama},
title = {Few-shot Domain Adaptation by Causal Mechanism Transfer},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {9458--9469},
publisher = {{PMLR}},
year = {2020}
}
@inproceedings{DBLP:conf/icml/TsuzukuSS20,
author = {Yusuke Tsuzuku and
Issei Sato and
Masashi Sugiyama},
title = {Normalized Flat Minima: Exploring Scale Invariant Definition of Flat
Minima for Neural Networks Using PAC-Bayesian Analysis},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {119},
pages = {9636--9647},
publisher = {{PMLR}},
year = {2020}
}
@article{DBLP:journals/corr/abs-2001-07847,
author = {Hisaichi Shibata and
Shouhei Hanaoka and
Yukihiro Nomura and
Takahiro Nakao and
Issei Sato and
Naoto Hayashi and
Osamu Abe},
title = {Anomaly detection in chest radiographs with a weakly supervised flow-based
deep learning method},
journal = {CoRR},
volume = {abs/2001.07847},
year = {2020}
}
@article{DBLP:journals/corr/abs-2002-03495,
author = {Zeke Xie and
Issei Sato and
Masashi Sugiyama},
title = {A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient
Descent Escapes From Sharp Minima Exponentially Fast},
journal = {CoRR},
volume = {abs/2002.03495},
year = {2020}
}
@article{DBLP:journals/corr/abs-2002-03497,
author = {Takeshi Teshima and
Issei Sato and
Masashi Sugiyama},
title = {Few-shot Domain Adaptation by Causal Mechanism Transfer},
journal = {CoRR},
volume = {abs/2002.03497},
year = {2020}
}
@article{DBLP:journals/corr/abs-2003-04691,
author = {Hideaki Imamura and
Nontawat Charoenphakdee and
Futoshi Futami and
Issei Sato and
Junya Honda and
Masashi Sugiyama},
title = {Time-varying Gaussian Process Bandit Optimization with Non-constant
Evaluation Time},
journal = {CoRR},
volume = {abs/2003.04691},
year = {2020}
}
@article{DBLP:journals/corr/abs-2005-04107,
author = {Yuki Koyama and
Issei Sato and
Masataka Goto},
title = {Sequential Gallery for Interactive Visual Design Optimization},
journal = {CoRR},
volume = {abs/2005.04107},
year = {2020}
}
@article{DBLP:journals/corr/abs-2006-06207,
author = {Han Bao and
Takuya Shimada and
Liyuan Xu and
Issei Sato and
Masashi Sugiyama},
title = {Similarity-based Classification: Connecting Similarity Learning to
Binary Classification},
journal = {CoRR},
volume = {abs/2006.06207},
year = {2020}
}
@article{DBLP:journals/corr/abs-2006-07571,
author = {Masahiro Fujisawa and
Takeshi Teshima and
Issei Sato},
title = {{\(\gamma\)}-ABC: Outlier-Robust Approximate Bayesian Computation
based on Robust Divergence Estimator},
journal = {CoRR},
volume = {abs/2006.07571},
year = {2020}
}
@article{DBLP:journals/corr/abs-2006-08306,
author = {Kei Mukaiyama and
Issei Sato and
Masashi Sugiyama},
title = {LFD-ProtoNet: Prototypical Network Based on Local Fisher Discriminant
Analysis for Few-shot Learning},
journal = {CoRR},
volume = {abs/2006.08306},
year = {2020}
}
@article{DBLP:journals/corr/abs-2006-15815,
author = {Zeke Xie and
Xinrui Wang and
Huishuai Zhang and
Issei Sato and
Masashi Sugiyama},
title = {Adai: Separating the Effects of Adaptive Learning Rate and Momentum
Inertia},
journal = {CoRR},
volume = {abs/2006.15815},
year = {2020}
}
@article{DBLP:journals/corr/abs-2007-01659,
author = {Takahiro Mimori and
Keiko Sasada and
Hirotaka Matsui and
Issei Sato},
title = {Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions
in Medical Domain},
journal = {CoRR},
volume = {abs/2007.01659},
year = {2020}
}
@article{DBLP:journals/corr/abs-2008-00645,
author = {Zhenghang Cui and
Issei Sato},
title = {Classification from Ambiguity Comparisons},
journal = {CoRR},
volume = {abs/2008.00645},
year = {2020}
}
@article{DBLP:journals/corr/abs-2011-06220,
author = {Zeke Xie and
Fengxiang He and
Shaopeng Fu and
Issei Sato and
Dacheng Tao and
Masashi Sugiyama},
title = {Artificial Neural Variability for Deep Learning: On Overfitting, Noise
Memorization, and Catastrophic Forgetting},
journal = {CoRR},
volume = {abs/2011.06220},
year = {2020}
}
@article{DBLP:journals/corr/abs-2011-11152,
author = {Zeke Xie and
Issei Sato and
Masashi Sugiyama},
title = {Stable Weight Decay Regularization},
journal = {CoRR},
volume = {abs/2011.11152},
year = {2020}
}
@inproceedings{DBLP:conf/aaai/FutamiCSS19,
author = {Futoshi Futami and
Zhenghang Cui and
Issei Sato and
Masashi Sugiyama},
title = {Bayesian Posterior Approximation via Greedy Particle Optimization},
booktitle = {{AAAI}},
pages = {3606--3613},
publisher = {{AAAI} Press},
year = {2019}
}
@inproceedings{DBLP:conf/aaai/KurokiCBHSS19,
author = {Seiichi Kuroki and
Nontawat Charoenphakdee and
Han Bao and
Junya Honda and
Issei Sato and
Masashi Sugiyama},
title = {Unsupervised Domain Adaptation Based on Source-Guided Discrepancy},
booktitle = {{AAAI}},
pages = {4122--4129},
publisher = {{AAAI} Press},
year = {2019}
}
@inproceedings{DBLP:conf/aaai/TeshimaXSS19,
author = {Takeshi Teshima and
Miao Xu and
Issei Sato and
Masashi Sugiyama},
title = {Clipped Matrix Completion: {A} Remedy for Ceiling Effects},
booktitle = {{AAAI}},
pages = {5151--5158},
publisher = {{AAAI} Press},
year = {2019}
}
@inproceedings{DBLP:conf/cvpr/TsuzukuS19,
author = {Yusuke Tsuzuku and
Issei Sato},
title = {On the Structural Sensitivity of Deep Convolutional Networks to the
Directions of Fourier Basis Functions},
booktitle = {{CVPR}},
pages = {51--60},
publisher = {Computer Vision Foundation / {IEEE}},
year = {2019}
}
@inproceedings{DBLP:conf/cvpr/YangWSI19,
author = {Xi Yang and
Bojian Wu and
Issei Sato and
Takeo Igarashi},
title = {Directing DNNs Attention for Facial Attribution Classification using
Gradient-weighted Class Activation Mapping},
booktitle = {{CVPR} Workshops},
pages = {103--106},
publisher = {Computer Vision Foundation / {IEEE}},
year = {2019}
}
@article{DBLP:journals/corr/abs-1901-04653,
author = {Yusuke Tsuzuku and
Issei Sato and
Masashi Sugiyama},
title = {Normalized Flat Minima: Exploring Scale Invariant Definition of Flat
Minima for Neural Networks using PAC-Bayesian Analysis},
journal = {CoRR},
volume = {abs/1901.04653},
year = {2019}
}
@article{DBLP:journals/corr/abs-1901-11351,
author = {Taira Tsuchiya and
Nontawat Charoenphakdee and
Issei Sato and
Masashi Sugiyama},
title = {Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization},
journal = {CoRR},
volume = {abs/1901.11351},
year = {2019}
}
@article{DBLP:journals/corr/abs-1902-00468,
author = {Masahiro Fujisawa and
Issei Sato},
title = {Multi-level Monte Carlo Variational Inference},
journal = {CoRR},
volume = {abs/1902.00468},
year = {2019}
}
@article{DBLP:journals/corr/abs-1902-01056,
author = {Takuo Kaneko and
Issei Sato and
Masashi Sugiyama},
title = {Online Multiclass Classification Based on Prediction Margin for Partial
Feedback},
journal = {CoRR},
volume = {abs/1902.01056},
year = {2019}
}
@article{DBLP:journals/corr/abs-1902-04247,
author = {Kento Nozawa and
Issei Sato},
title = {PAC-Bayes Analysis of Sentence Representation},
journal = {CoRR},
volume = {abs/1902.04247},
year = {2019}
}
@article{DBLP:journals/corr/abs-1903-02750,
author = {Soma Yokoi and
Takuma Otsuka and
Issei Sato},
title = {On Transformations in Stochastic Gradient {MCMC}},
journal = {CoRR},
volume = {abs/1903.02750},
year = {2019}
}
@article{DBLP:journals/corr/abs-1903-06009,
author = {Issei Sato},
title = {On Learning from Ghost Imaging without Imaging},
journal = {CoRR},
volume = {abs/1903.06009},
year = {2019}
}
@article{DBLP:journals/corr/abs-1903-09538,
author = {Hiroaki Adachi and
Yoko Kawamura and
Keiji Nakagawa and
Ryoichi Horisaki and
Issei Sato and
Satoko Yamaguchi and
Katsuhito Fujiu and
Kayo Waki and
Hiroyuki Noji and
Sadao Ota},
title = {Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic
Characteristics},
journal = {CoRR},
volume = {abs/1903.09538},
year = {2019}
}
@article{DBLP:journals/corr/abs-1904-11717,
author = {Takuya Shimada and
Han Bao and
Issei Sato and
Masashi Sugiyama},
title = {Classification from Pairwise Similarities/Dissimilarities and Unlabeled
Data via Empirical Risk Minimization},
journal = {CoRR},
volume = {abs/1904.11717},
year = {2019}
}
@article{DBLP:journals/corr/abs-1905-00593,
author = {Xi Yang and
Bojian Wu and
Issei Sato and
Takeo Igarashi},
title = {Directing DNNs Attention for Facial Attribution Classification using
Gradient-weighted Class Activation Mapping},
journal = {CoRR},
volume = {abs/1905.00593},
year = {2019}
}
@article{DBLP:journals/corr/abs-1905-11623,
author = {Kenshin Abe and
Zijian Xu and
Issei Sato and
Masashi Sugiyama},
title = {Solving NP-Hard Problems on Graphs by Reinforcement Learning without
Domain Knowledge},
journal = {CoRR},
volume = {abs/1905.11623},
year = {2019}
}
@article{DBLP:journals/corr/abs-1906-09840,
author = {Toby Long Hin Chong and
I{-}Chao Shen and
Issei Sato and
Takeo Igarashi},
title = {Interactive Subspace Exploration on Generative Image Modelling},
journal = {CoRR},
volume = {abs/1906.09840},
year = {2019}
}
@article{DBLP:journals/corr/abs-1907-10225,
author = {Zhenghang Cui and
Nontawat Charoenphakdee and
Issei Sato and
Masashi Sugiyama},
title = {Classification from Triplet Comparison Data},
journal = {CoRR},
volume = {abs/1907.10225},
year = {2019}
}
@article{DBLP:journals/corr/abs-1911-09011,
author = {Soma Yokoi and
Issei Sato},
title = {Bayesian interpretation of {SGD} as Ito process},
journal = {CoRR},
volume = {abs/1911.09011},
year = {2019}
}
@article{DBLP:journals/ieicet/CuiSS18,
author = {Zhenghang Cui and
Issei Sato and
Masashi Sugiyama},
title = {Stochastic Divergence Minimization for Biterm Topic Models},
journal = {{IEICE} Trans. Inf. Syst.},
volume = {101-D},
number = {3},
pages = {668--677},
year = {2018}
}
@article{DBLP:journals/jip/EharaSON18,
author = {Yo Ehara and
Issei Sato and
Hidekazu Oiwa and
Hiroshi Nakagawa},
title = {Mining Words in the Minds of Second Language Learners for Learner-specific
Word Difficulty},
journal = {J. Inf. Process.},
volume = {26},
pages = {267--275},
year = {2018}
}
@article{DBLP:journals/nn/BaoSSS18,
author = {Han Bao and
Tomoya Sakai and
Issei Sato and
Masashi Sugiyama},
title = {Convex formulation of multiple instance learning from positive and
unlabeled bags},
journal = {Neural Networks},
volume = {105},
pages = {132--141},
year = {2018}
}
@inproceedings{DBLP:conf/aistats/FutamiSS18,
author = {Futoshi Futami and
Issei Sato and
Masashi Sugiyama},
title = {Variational Inference based on Robust Divergences},
booktitle = {{AISTATS}},
series = {Proceedings of Machine Learning Research},
volume = {84},
pages = {813--822},
publisher = {{PMLR}},
year = {2018}
}
@inproceedings{DBLP:conf/aistats/DingKSS18,
author = {Hongyi Ding and
Mohammad Emtiyaz Khan and
Issei Sato and
Masashi Sugiyama},
title = {Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence
Modeling},
booktitle = {{AISTATS}},
series = {Proceedings of Machine Learning Research},
volume = {84},
pages = {1108--1116},
publisher = {{PMLR}},
year = {2018}
}
@inproceedings{DBLP:conf/icml/HuNSS18,
author = {Weihua Hu and
Gang Niu and
Issei Sato and
Masashi Sugiyama},
title = {Does Distributionally Robust Supervised Learning Give Robust Classifiers?},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2034--2042},
publisher = {{PMLR}},
year = {2018}
}
@inproceedings{DBLP:conf/icml/ImamuraSS18,
author = {Hideaki Imamura and
Issei Sato and
Masashi Sugiyama},
title = {Analysis of Minimax Error Rate for Crowdsourcing and Its Application
to Worker Clustering Model},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2152--2161},
publisher = {{PMLR}},
year = {2018}
}
@inproceedings{DBLP:conf/kdd/SatoNHMHAM18,
author = {Issei Sato and
Yukihiro Nomura and
Shouhei Hanaoka and
Soichiro Miki and
Naoto Hayashi and
Osamu Abe and
Yoshitaka Masutani},
title = {Managing Computer-Assisted Detection System Based on Transfer Learning
with Negative Transfer Inhibition},
booktitle = {{KDD}},
pages = {695--704},
publisher = {{ACM}},
year = {2018}
}
@inproceedings{DBLP:conf/nips/TsuzukuSS18,
author = {Yusuke Tsuzuku and
Issei Sato and
Masashi Sugiyama},
title = {Lipschitz-Margin Training: Scalable Certification of Perturbation
Invariance for Deep Neural Networks},
booktitle = {NeurIPS},
pages = {6542--6551},
year = {2018}
}
@inproceedings{DBLP:conf/supercomputer/MiyazakiSS18,
author = {Takashi Miyazaki and
Issei Sato and
Nobuyuki Shimizu},
title = {Bayesian Optimization of {HPC} Systems for Energy Efficiency},
booktitle = {{ISC}},
series = {Lecture Notes in Computer Science},
volume = {10876},
pages = {44--62},
publisher = {Springer},
year = {2018}
}
@inproceedings{DBLP:conf/uai/DingLSS18,
author = {Hongyi Ding and
Young Lee and
Issei Sato and
Masashi Sugiyama},
title = {Variational Inference for Gaussian Processes with Panel Count Data},
booktitle = {{UAI}},
pages = {290--299},
publisher = {{AUAI} Press},
year = {2018}
}
@article{DBLP:journals/corr/abs-1802-04034,
author = {Yusuke Tsuzuku and
Issei Sato and
Masashi Sugiyama},
title = {Lipschitz-Margin Training: Scalable Certification of Perturbation
Invariance for Deep Neural Networks},
journal = {CoRR},
volume = {abs/1802.04034},
year = {2018}
}
@article{DBLP:journals/corr/abs-1802-04551,
author = {Hideaki Imamura and
Issei Sato and
Masashi Sugiyama},
title = {Analysis of Minimax Error Rate for Crowdsourcing and Its Application
to Worker Clustering Model},
journal = {CoRR},
volume = {abs/1802.04551},
year = {2018}
}
@article{DBLP:journals/corr/abs-1805-07912,
author = {Futoshi Futami and
Zhenghang Cui and
Issei Sato and
Masashi Sugiyama},
title = {Frank-Wolfe Stein Sampling},
journal = {CoRR},
volume = {abs/1805.07912},
year = {2018}
}
@article{DBLP:journals/corr/abs-1809-03839,
author = {Seiichi Kuroki and
Nontawat Charoenphakdee and
Han Bao and
Junya Honda and
Issei Sato and
Masashi Sugiyama},
title = {Unsupervised Domain Adaptation Based on Source-guided Discrepancy},
journal = {CoRR},
volume = {abs/1809.03839},
year = {2018}
}
@article{DBLP:journals/corr/abs-1809-04098,
author = {Yusuke Tsuzuku and
Issei Sato},
title = {On the Structural Sensitivity of Deep Convolutional Networks to the
Directions of Fourier Basis Functions},
journal = {CoRR},
volume = {abs/1809.04098},
year = {2018}
}
@article{DBLP:journals/corr/abs-1809-04997,
author = {Takeshi Teshima and
Miao Xu and
Issei Sato and
Masashi Sugiyama},
title = {Clipped Matrix Completion: a Remedy for Ceiling Effects},
journal = {CoRR},
volume = {abs/1809.04997},
year = {2018}
}
@article{DBLP:journals/jmlr/IshiguroSU17,
author = {Katsuhiko Ishiguro and
Issei Sato and
Naonori Ueda},
title = {Averaged Collapsed Variational Bayes Inference},
journal = {J. Mach. Learn. Res.},
volume = {18},
pages = {1:1--1:29},
year = {2017}
}
@article{DBLP:journals/tog/KoyamaSSI17,
author = {Yuki Koyama and
Issei Sato and
Daisuke Sakamoto and
Takeo Igarashi},
title = {Sequential line search for efficient visual design optimization by
crowds},
journal = {{ACM} Trans. Graph.},
volume = {36},
number = {4},
pages = {48:1--48:11},
year = {2017}
}
@inproceedings{DBLP:conf/acml/XieS17,
author = {Zeke Xie and
Issei Sato},
title = {A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors},
booktitle = {{ACML}},
series = {Proceedings of Machine Learning Research},
volume = {77},
pages = {81--96},
publisher = {{PMLR}},
year = {2017}
}
@inproceedings{DBLP:conf/icml/TokuiS17,
author = {Seiya Tokui and
Issei Sato},
title = {Evaluating the Variance of Likelihood-Ratio Gradient Estimators},
booktitle = {{ICML}},
series = {Proceedings of Machine Learning Research},
volume = {70},
pages = {3414--3423},
publisher = {{PMLR}},
year = {2017}
}
@inproceedings{DBLP:conf/micad/KamesawaSHNNHS17,
author = {Ryosuke Kamesawa and
Issei Sato and
Shouhei Hanaoka and
Yukihiro Nomura and
Mitsutaka Nemoto and
Naoto Hayashi and
Masashi Sugiyama},
title = {Lung lesion detection in {FDG-PET/CT} with Gaussian process regression},
booktitle = {Computer-Aided Diagnosis},
series = {{SPIE} Proceedings},
volume = {10134},
pages = {101340C},
publisher = {{SPIE}},
year = {2017}
}
@inproceedings{DBLP:conf/nips/OhamaSKA17,
author = {Iku Ohama and
Issei Sato and
Takuya Kida and
Hiroki Arimura},
title = {On the Model Shrinkage Effect of Gamma Process Edge Partition Models},
booktitle = {{NIPS}},
pages = {397--405},
year = {2017}
}
@inproceedings{DBLP:conf/nips/FutamiSS17,
author = {Futoshi Futami and
Issei Sato and
Masashi Sugiyama},
title = {Expectation Propagation for t-Exponential Family Using q-Algebra},
booktitle = {{NIPS}},
pages = {2245--2254},
year = {2017}
}
@article{DBLP:journals/corr/BaoSSS17,
author = {Han Bao and
Tomoya Sakai and
Issei Sato and
Masashi Sugiyama},
title = {Risk Minimization Framework for Multiple Instance Learning from Positive
and Unlabeled Bags},
journal = {CoRR},
volume = {abs/1704.06767},
year = {2017}
}
@article{DBLP:journals/corr/abs-1711-08117,
author = {Zeke Xie and
Issei Sato},
title = {A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors},
journal = {CoRR},
volume = {abs/1711.08117},
year = {2017}
}
@inproceedings{DBLP:conf/aaai/IshiguroSNKU16,
author = {Katsuhiko Ishiguro and
Issei Sato and
Masahiro Nakano and
Akisato Kimura and
Naonori Ueda},
title = {Infinite Plaid Models for Infinite Bi-Clustering},
booktitle = {{AAAI}},
pages = {1701--1708},
publisher = {{AAAI} Press},
year = {2016}
}
@inproceedings{DBLP:conf/bigdataconf/KazamaSYOON16,
author = {Masahiro Kazama and
Issei Sato and
Haruaki Yatabe and
Tairiku Ogihara and
Tetsuro Onishi and
Hiroshi Nakagawa},
title = {Company recommendation for new graduates via implicit feedback multiple
matrix factorization with Bayesian optimization},
booktitle = {{IEEE} BigData},
pages = {1615--1620},
publisher = {{IEEE} Computer Society},
year = {2016}
}
@inproceedings{DBLP:conf/icdm/KamishimaAAS16,
author = {Toshihiro Kamishima and
Shotaro Akaho and
Hideki Asoh and
Issei Sato},
title = {Model-Based Approaches for Independence-Enhanced Recommendation},
booktitle = {{ICDM} Workshops},
pages = {860--867},
publisher = {{IEEE} Computer Society},
year = {2016}
}
@inproceedings{DBLP:conf/nips/MinamiASN16,
author = {Kentaro Minami and
Hiromi Arai and
Issei Sato and
Hiroshi Nakagawa},
title = {Differential Privacy without Sensitivity},
booktitle = {{NIPS}},
pages = {956--964},
year = {2016}
}
@article{DBLP:journals/corr/TokuiS16,
author = {Seiya Tokui and
Issei Sato},
title = {Reparameterization trick for discrete variables},
journal = {CoRR},
volume = {abs/1611.01239},
year = {2016}
}
@article{DBLP:journals/corr/HuSS16,
author = {Weihua Hu and
Issei Sato and
Masashi Sugiyama},
title = {Robust supervised learning under uncertainty in dataset shift},
journal = {CoRR},
volume = {abs/1611.02041},
year = {2016}
}
@inproceedings{DBLP:conf/aaai/MaSN15,
author = {Tengfei Ma and
Issei Sato and
Hiroshi Nakagawa},
title = {The Hybrid Nested/Hierarchical Dirichlet Process and its Application
to Topic Modeling with Word Differentiation},
booktitle = {{AAAI}},
pages = {2835--2841},
publisher = {{AAAI} Press},
year = {2015}
}
@inproceedings{DBLP:conf/kdd/SatoN15,
author = {Issei Sato and
Hiroshi Nakagawa},
title = {Stochastic Divergence Minimization for Online Collapsed Variational
Bayes Zero Inference of Latent Dirichlet Allocation},
booktitle = {{KDD}},
pages = {1035--1044},
publisher = {{ACM}},
year = {2015}
}
@inproceedings{DBLP:conf/pakdd/TokuiSN15,
author = {Seiya Tokui and
Issei Sato and
Hiroshi Nakagawa},
title = {Locally Optimized Hashing for Nearest Neighbor Search},
booktitle = {{PAKDD} {(2)}},
series = {Lecture Notes in Computer Science},
volume = {9078},
pages = {498--509},
publisher = {Springer},
year = {2015}
}
@inproceedings{DBLP:conf/sigmod/YangSN15,
author = {Bin Yang and
Issei Sato and
Hiroshi Nakagawa},
title = {Bayesian Differential Privacy on Correlated Data},
booktitle = {{SIGMOD} Conference},
pages = {747--762},
publisher = {{ACM}},
year = {2015}
}
@inproceedings{DBLP:conf/emnlp/EharaMOSN14,
author = {Yo Ehara and
Yusuke Miyao and
Hidekazu Oiwa and
Issei Sato and
Hiroshi Nakagawa},
title = {Formalizing Word Sampling for Vocabulary Prediction as Graph-based
Active Learning},
booktitle = {{EMNLP}},
pages = {1374--1384},
publisher = {{ACL}},
year = {2014}
}
@inproceedings{DBLP:conf/icml/SatoN14,
author = {Issei Sato and
Hiroshi Nakagawa},
title = {Approximation Analysis of Stochastic Gradient Langevin Dynamics by
using Fokker-Planck Equation and Ito Process},
booktitle = {{ICML}},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {32},
pages = {982--990},
publisher = {JMLR.org},
year = {2014}
}
@inproceedings{DBLP:conf/icml/SatoKN14,
author = {Issei Sato and
Hisashi Kashima and
Hiroshi Nakagawa},
title = {Latent Confusion Analysis by Normalized Gamma Construction},
booktitle = {{ICML}},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {32},
pages = {1116--1124},
publisher = {JMLR.org},
year = {2014}
}
@inproceedings{DBLP:conf/nips/NakajimaSSWK14,
author = {Shinichi Nakajima and
Issei Sato and
Masashi Sugiyama and
Kazuho Watanabe and
Hiroko Kobayashi},
title = {Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker
Sparsity Than {MAP}},
booktitle = {{NIPS}},
pages = {1224--1232},
year = {2014}
}
@article{DBLP:journals/corr/SatoKTNM14,
author = {Issei Sato and
Kenichi Kurihara and
Shu Tanaka and
Hiroshi Nakagawa and
Seiji Miyashita},
title = {Quantum Annealing for Variational Bayes Inference},
journal = {CoRR},
volume = {abs/1408.2037},
year = {2014}
}
@article{DBLP:journals/corr/IshiguroSU14,
author = {Katsuhiko Ishiguro and
Issei Sato and
Naonori Ueda},
title = {Collapsed Variational Bayes Inference of Infinite Relational Model},
journal = {CoRR},
volume = {abs/1409.4757},
year = {2014}
}
@article{DBLP:journals/ijon/SatoTKMN13,
author = {Issei Sato and
Shu Tanaka and
Kenichi Kurihara and
Seiji Miyashita and
Hiroshi Nakagawa},
title = {Quantum annealing for Dirichlet process mixture models with applications
to network clustering},
journal = {Neurocomputing},
volume = {121},
pages = {523--531},
year = {2013}
}
@inproceedings{DBLP:conf/acml/KomiyamaSN13,
author = {Junpei Komiyama and
Issei Sato and
Hiroshi Nakagawa},
title = {Multi-armed Bandit Problem with Lock-up Periods},
booktitle = {{ACML}},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {29},
pages = {116--132},
publisher = {JMLR.org},
year = {2013}
}
@inproceedings{DBLP:conf/textgraphs/EharaSON13,
author = {Yo Ehara and
Issei Sato and
Hidekazu Oiwa and
Hiroshi Nakagawa},
title = {Understanding seed selection in bootstrapping},
booktitle = {TextGraphs@EMNLP},
pages = {44--52},
publisher = {The Association for Computer Linguistics},
year = {2013}
}
@inproceedings{DBLP:conf/acl/TakamatsuSN12,
author = {Shingo Takamatsu and
Issei Sato and
Hiroshi Nakagawa},
title = {Reducing Wrong Labels in Distant Supervision for Relation Extraction},
booktitle = {{ACL} {(1)}},
pages = {721--729},
publisher = {The Association for Computer Linguistics},
year = {2012}
}
@inproceedings{DBLP:conf/coling/EharaSON12,
author = {Yo Ehara and
Issei Sato and
Hidekazu Oiwa and
Hiroshi Nakagawa},
title = {Mining Words in the Minds of Second Language Learners: Learner-Specific
Word Difficulty},
booktitle = {{COLING}},
pages = {799--814},
publisher = {Indian Institute of Technology Bombay},
year = {2012}
}
@inproceedings{DBLP:conf/hcomp/KajinoTSK12,
author = {Hiroshi Kajino and
Yuta Tsuboi and
Issei Sato and
Hisashi Kashima},
title = {Learning from Crowds and Experts},
booktitle = {HCOMP@AAAI},
series = {{AAAI} Technical Report},
volume = {{WS-12-08}},
publisher = {{AAAI} Press},
year = {2012}
}
@inproceedings{DBLP:conf/icml/SatoN12,
author = {Issei Sato and
Hiroshi Nakagawa},
title = {Rethinking Collapsed Variational Bayes Inference for {LDA}},
booktitle = {{ICML}},
publisher = {icml.cc / Omnipress},
year = {2012}
}
@inproceedings{DBLP:conf/kdd/SatoKN12,
author = {Issei Sato and
Kenichi Kurihara and
Hiroshi Nakagawa},
title = {Practical collapsed variational bayes inference for hierarchical dirichlet
process},
booktitle = {{KDD}},
pages = {105--113},
publisher = {{ACM}},
year = {2012}
}
@inproceedings{DBLP:conf/pakdd/YangSN12,
author = {Bin Yang and
Issei Sato and
Hiroshi Nakagawa},
title = {Privacy-Preserving {EM} Algorithm for Clustering on Social Network},
booktitle = {{PAKDD} {(1)}},
series = {Lecture Notes in Computer Science},
volume = {7301},
pages = {542--553},
publisher = {Springer},
year = {2012}
}
@inproceedings{DBLP:conf/icdm/YangSN11,
author = {Bin Yang and
Issei Sato and
Hiroshi Nakagawa},
title = {Secure Clustering in Private Networks},
booktitle = {{ICDM}},
pages = {894--903},
publisher = {{IEEE} Computer Society},
year = {2011}
}
@inproceedings{DBLP:conf/pakdd/TakamatsuSN11,
author = {Shingo Takamatsu and
Issei Sato and
Hiroshi Nakagawa},
title = {Probabilistic Matrix Factorization Leveraging Contexts for Unsupervised
Relation Extraction},
booktitle = {{PAKDD} {(1)}},
series = {Lecture Notes in Computer Science},
volume = {6634},
pages = {87--99},
publisher = {Springer},
year = {2011}
}
@article{DBLP:journals/imt/SatoN10,
author = {Issei Sato and
Hiroshi Nakagawa},
title = {Succinct Semi-structured Data Mining Based on {FREQT}},
journal = {Inf. Media Technol.},
volume = {5},
number = {3},
pages = {1022--1027},
year = {2010}
}
@inproceedings{DBLP:conf/clef/YoshidaMOSN10,
author = {Minoru Yoshida and
Shin Matsushima and
Shingo Ono and
Issei Sato and
Hiroshi Nakagawa},
title = {{ITC-UT:} Tweet Categorization by Query Categorization for On-line
Reputation Management},
booktitle = {{CLEF} (Notebook Papers/LABs/Workshops)},
series = {{CEUR} Workshop Proceedings},
volume = {1176},
publisher = {CEUR-WS.org},
year = {2010}
}
@inproceedings{DBLP:conf/kdd/YangNSS10,
author = {Bin Yang and
Hiroshi Nakagawa and
Issei Sato and
Jun Sakuma},
title = {Collusion-resistant privacy-preserving data mining},
booktitle = {{KDD}},
pages = {483--492},
publisher = {{ACM}},
year = {2010}
}
@inproceedings{DBLP:conf/kdd/SatoN10,
author = {Issei Sato and
Hiroshi Nakagawa},
title = {Topic models with power-law using Pitman-Yor process},
booktitle = {{KDD}},
pages = {673--682},
publisher = {{ACM}},
year = {2010}
}
@inproceedings{DBLP:conf/nips/SatoKN10,
author = {Issei Sato and
Kenichi Kurihara and
Hiroshi Nakagawa},
title = {Deterministic Single-Pass Algorithm for {LDA}},
booktitle = {{NIPS}},
pages = {2074--2082},
publisher = {Curran Associates, Inc.},
year = {2010}
}
@inproceedings{DBLP:conf/pakdd/YoshidaSNT10,
author = {Minoru Yoshida and
Issei Sato and
Hiroshi Nakagawa and
Akira Terada},
title = {Mining Numbers in Text Using Suffix Arrays and Clustering Based on
Dirichlet Process Mixture Models},
booktitle = {{PAKDD} {(2)}},
series = {Lecture Notes in Computer Science},
volume = {6119},
pages = {230--237},
publisher = {Springer},
year = {2010}
}
@inproceedings{DBLP:conf/sigir/YoshidaIOSN10,
author = {Minoru Yoshida and
Masaki Ikeda and
Shingo Ono and
Issei Sato and
Hiroshi Nakagawa},
title = {Person name disambiguation by bootstrapping},
booktitle = {{SIGIR}},
pages = {10--17},
publisher = {{ACM}},
year = {2010}
}
@inproceedings{DBLP:conf/uai/SatoKTNM09,
author = {Issei Sato and
Kenichi Kurihara and
Shu Tanaka and
Hiroshi Nakagawa and
Seiji Miyashita},
title = {Quantum Annealing for Variational Bayes Inference},
booktitle = {{UAI}},
pages = {479--486},
publisher = {{AUAI} Press},
year = {2009}
}
@article{DBLP:journals/corr/abs-0905-3528,
author = {Issei Sato and
Kenichi Kurihara and
Shu Tanaka and
Hiroshi Nakagawa and
Seiji Miyashita},
title = {Quantum Annealing for Variational Bayes Inference},
journal = {CoRR},
volume = {abs/0905.3528},
year = {2009}
}
@inproceedings{DBLP:conf/kdd/SatoYN08,
author = {Issei Sato and
Minoru Yoshida and
Hiroshi Nakagawa},
title = {Knowledge discovery of semantic relationships between words using
nonparametric bayesian graph model},
booktitle = {{KDD}},
pages = {587--595},
publisher = {{ACM}},
year = {2008}
}
@inproceedings{DBLP:conf/pakdd/OnoSYN08,
author = {Shingo Ono and
Issei Sato and
Minoru Yoshida and
Hiroshi Nakagawa},
title = {Person Name Disambiguation in Web Pages Using Social Network, Compound
Words and Latent Topics},
booktitle = {{PAKDD}},
series = {Lecture Notes in Computer Science},
volume = {5012},
pages = {260--271},
publisher = {Springer},
year = {2008}
}
@inproceedings{DBLP:conf/emnlp/SatoN07,
author = {Issei Sato and
Hiroshi Nakagawa},
title = {Bayesian Document Generative Model with Explicit Multiple Topics},
booktitle = {EMNLP-CoNLL},
pages = {421--429},
publisher = {{ACL}},
year = {2007}
}
@inproceedings{DBLP:conf/kdd/SatoN07,
author = {Issei Sato and
Hiroshi Nakagawa},
title = {Knowledge discovery of multiple-topic document using parametric mixture
model with dirichlet prior},
booktitle = {{KDD}},
pages = {590--598},
publisher = {{ACM}},
year = {2007}
}
@inproceedings{DBLP:conf/pakdd/SatoN07,
author = {Issei Sato and
Hiroshi Nakagawa},
title = {Semi-structure Mining Method for Text Mining with a Chunk-Based Dependency
Structure},
booktitle = {{PAKDD}},
series = {Lecture Notes in Computer Science},
volume = {4426},
pages = {777--784},
publisher = {Springer},
year = {2007}
}
@inproceedings{DBLP:conf/icde/SatoHY06,
author = {Issei Sato and
Yu Hirate and
Hayato Yamana},
title = {Text Mining using PrefixSpan constrained by Item Interval and Item
Attribute},
booktitle = {{ICDE} Workshops},
pages = {118},
publisher = {{IEEE} Computer Society},
year = {2006}
}
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-28 23:12 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: