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大学 × Machine Learning

京都大学

Machine Learning / 2021–2025 確定版

掲載論文 52 本

論文一覧

52 本

このEditionのランキングに掲載している論文です。同じ大学の複数著者による共著は1本にまとめています。

ランキングの対象論文 52 本と一致しています。

2025年

  1. 2025 · ICLR

    GeSubNet: Gene Interaction Inference for Disease Subtype Network Generation

    掲載ID: iclr:2025:a924b7178e5975dfed1de235f0b72973

    Ziwei Yang, Zheng Chen, XIN LIU, Rikuto Kotoge, Peng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun

    Machine Learning

    京都大学 / 大阪大学

  2. 2025 · ICLR

    Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form

    掲載ID: iclr:2025:8f6b47b542c9b00ed629250d070dd942

    Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo

    Machine Learning

    京都大学 / 東京大学

  3. 2025 · ICLR

    PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis

    掲載ID: iclr:2025:ab41313eaa3cbedbe491c24cbfe6547d

    Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa

    Machine Learning

    東京科学大学 / 京都大学 / 沖縄科学技術大学院大学

  4. 2025 · ICLR

    Scalable Decentralized Learning with Teleportation

    掲載ID: iclr:2025:b3732a13897c4cea145c3bdece80de64

    Yuki Takezawa, Sebastian Stich

    Machine Learning

    京都大学

  5. 2025 · ICLR

    SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches

    掲載ID: iclr:2025:159511050630689045bf5593e74b13cc

    Hiroyuki Deguchi, Go Kamoda, Yusuke Matsushita, Chihiro Taguchi, Kohei Suenaga, Masaki Waga, Sho Yokoi

    Machine Learning

    京都大学 / 東北大学

  6. 2025 · ICML

    Deep Ridgelet Transform and Unified Universality Theorem for Deep and Shallow Joint-Group-Equivariant Machines

    掲載ID: pmlr:v267:sonoda25a

    Sho Sonoda, Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda

    Machine Learning

    京都大学

  7. 2025 · ICML

    Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance

    掲載ID: pmlr:v267:chen25bw

    Lisha Chen, Quan Xiao, Ellen Hidemi Fukuda, Xinyi Chen, Kun Yuan, Tianyi Chen

    Machine Learning

    京都大学

  8. 2025 · ICML

    Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization

    掲載ID: pmlr:v267:takezawa25a

    Yuki Takezawa [京都大学] [沖縄科学技術大学院大学], Xiaowen Jiang, Anton Rodomanov, Sebastian U Stich

    Machine Learning

    京都大学 / 沖縄科学技術大学院大学

  9. 2025 · ICML

    Geometric Resampling in Nearly Linear Time for Follow-the-Perturbed-Leader with Best-of-Both-Worlds Guarantee in Bandit Problems

    掲載ID: pmlr:v267:chen25ai

    Botao Chen, Jongyeong Lee, Junya Honda

    Machine Learning

    京都大学

  10. 2025 · ICML

    Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering

    掲載ID: pmlr:v267:yang25o

    Xin Yang, Xingrun Li, Heng Chang, Yang Jinze, Xihong Yang, Shengyu Tao, Maiko Shigeno, Ningkang Chang, Junfeng Wang, Dawei Yin, Erxue Min

    Machine Learning

    京都大学 / 東京大学 / 筑波大学

  11. 2025 · ICML

    Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation

    掲載ID: pmlr:v267:nakanishi25a

    Kosuke Nakanishi, Akihiro Kubo, Yuji Yasui, Shin Ishii

    Machine Learning

    京都大学

  12. 2025 · NeurIPS

    Generative Perception of Shape and Material from Differential Motion

    掲載ID: neurips:2025:b4e49c75933caedcc079b2d6289cb079

    Xinran Han, Ko Nishino, Todd Zickler

    Machine Learning

    京都大学

  13. 2025 · NeurIPS

    Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning

    掲載ID: neurips:2025:617f72363e338e0a945b8a39df2196cc

    Marlon Tobaben, Hibiki Ito, Joonas Jälkö, Yuan He, Antti Honkela

    Machine Learning

    京都大学

  14. 2025 · NeurIPS

    Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model

    掲載ID: neurips:2025:93da65de953f738e7160ef1125e288d1

    Chuang Ma, Tomoyuki Obuchi, Toshiyuki Tanaka

    Machine Learning

    京都大学

  15. 2025 · NeurIPS

    Optimal Estimation of the Best Mean in Multi-Armed Bandits

    掲載ID: neurips:2025:04bb165d5fb90aef582f39a58f4bf072

    Takayuki Osogami, Junya Honda, Junpei Komiyama

    Machine Learning

    京都大学

  16. 2025 · NeurIPS

    Optimal Regret of Bandits under Differential Privacy

    掲載ID: neurips:2025:a70522d112322111cbf19c69e927eaf2

    Achraf Azize, Yulian Wu, Junya Honda, Francesco Orabona, Shinji Ito, Debabrota Basu

    Machine Learning

    京都大学 / 東京大学

  17. 2025 · NeurIPS

    Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation

    掲載ID: neurips:2025:435e8fbbfc2c6072d4f3a5cb6e56a39a

    Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno, Wataru Kumagai, Kazumi Kasaura, Kenta Hoshino, Yohei Hosoe, Yutaka Matsuo

    Machine Learning

    東京科学大学 / 京都大学 / 東京大学

  18. 2025 · NeurIPS

    Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems

    掲載ID: neurips:2025:78847077020397ffff2479316c318073

    Jongyeong Lee, Junya Honda, Shinji Ito, Min-hwan Oh

    Machine Learning

    京都大学 / 東京大学

2024年

  1. 2024 · COLT

    Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds

    掲載ID: pmlr:v247:ito24a

    Shinji Ito, Taira Tsuchiya, Junya Honda

    Machine Learning

    京都大学 / 東京大学

  2. 2024 · COLT

    Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds

    掲載ID: pmlr:v247:lee24a

    Jongyeong Lee, Junya Honda, Shinji Ito, Min-hwan Oh

    Machine Learning

    京都大学 / 東京大学

  3. 2024 · COLT

    Online Structured Prediction with Fenchel–Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss

    掲載ID: pmlr:v247:sakaue24a

    Shinsaku Sakaue, Han Bao, Taira Tsuchiya, Taihei Oki

    Machine Learning

    京都大学 / 東京大学

  4. 2024 · ICLR

    Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments

    掲載ID: iclr:2024:5df4313ecd4875931fbdacc486cc1fcf

    Ryo Ueda, TADAHIRO TANIGUCHI

    Machine Learning

    京都大学 / 東京大学

  5. 2024 · ICML

    End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations

    掲載ID: pmlr:v235:luo24j

    Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li

    Machine Learning

    京都大学

  6. 2024 · ICML

    Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring

    掲載ID: pmlr:v235:tsuchiya24a

    Taira Tsuchiya, Shinji Ito, Junya Honda

    Machine Learning

    京都大学 / 東京大学

  7. 2024 · ICML

    Self-attention Networks Localize When QK-eigenspectrum Concentrates

    掲載ID: pmlr:v235:bao24b

    Han Bao, Ryuichiro Hataya, Ryo Karakida

    Machine Learning

    京都大学

  8. 2024 · NeurIPS

    AUC Maximization under Positive Distribution Shift

    掲載ID: neurips:2024:3f8c7eb848ffec848f3ed2b7ca44915d

    Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara

    Machine Learning

    京都大学

  9. 2024 · NeurIPS

    Enhancing Chess Reinforcement Learning with Graph Representation

    掲載ID: neurips:2024:008a16ead32f932b711788c276890456

    Tomas Rigaux, Hisashi Kashima

    Machine Learning

    京都大学

  10. 2024 · NeurIPS

    Multistable Shape from Shading Emerges from Patch Diffusion

    掲載ID: neurips:2024:3d4dc72d715bd6415d356293079adf3d

    Xinran Nicole Han, Todd Zickler, Ko Nishino

    Machine Learning

    京都大学

  11. 2024 · NeurIPS

    Parameter-free Clipped Gradient Descent Meets Polyak

    掲載ID: neurips:2024:4ebba705ffdee81e0a638c99fe066ce2

    Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada

    Machine Learning

    京都大学 / 沖縄科学技術大学院大学

  12. 2024 · NeurIPS

    Risk-sensitive control as inference with Rényi divergence

    掲載ID: neurips:2024:836cf992a71f7a0bda218c180f942902

    Kaito Ito, Kenji Kashima

    Machine Learning

    京都大学 / 東京大学

  13. 2024 · NeurIPS

    Zipfian Whitening

    掲載ID: neurips:2024:dd1fef536655685898a6602bfbf16857

    Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira

    Machine Learning

    京都大学 / 東北大学

2023年

  1. 2023 · COLT

    Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds

    掲載ID: pmlr:v195:bao23a

    Han Bao

    Machine Learning

    京都大学

  2. 2023 · ICML

    Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure

    掲載ID: pmlr:v202:sato23a

    Ryoma Sato

    Machine Learning

    京都大学

  3. 2023 · ICML

    Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators

    掲載ID: pmlr:v202:parmas23a

    Paavo Parmas, Takuma Seno, Yuma Aoki

    Machine Learning

    京都大学 / 東京大学

  4. 2023 · ICML

    Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits

    掲載ID: pmlr:v202:lee23d

    Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama

    Machine Learning

    京都大学 / 東京大学

  5. 2023 · NeurIPS

    Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence

    掲載ID: neurips:2023:f201b3f3d0f08c6ab46c36b9052c1b64

    Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada

    Machine Learning

    京都大学 / 沖縄科学技術大学院大学

  6. 2023 · NeurIPS

    Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network

    掲載ID: neurips:2023:4c9477b9e2c7ec0ad3f4f15077aaf85a

    Zitang Sun, Yen-Ju Chen, Yung-Hao Yang, Shin'ya Nishida

    Machine Learning

    京都大学

  7. 2023 · NeurIPS

    Regularizing Neural Networks with Meta-Learning Generative Models

    掲載ID: neurips:2023:572cd21bd5dea96b065476b77d21b3c6

    Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima

    Machine Learning

    京都大学

  8. 2023 · NeurIPS

    Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds

    掲載ID: neurips:2023:9408564a4229f4a933ac9bd09a29ee96

    Taira Tsuchiya, Shinji Ito, Junya Honda

    Machine Learning

    京都大学 / 東京大学

2022年

  1. 2022 · COLT

    Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds

    掲載ID: pmlr:v178:ito22a

    Shinji Ito, Taira Tsuchiya, Junya Honda

    Machine Learning

    京都大学

  2. 2022 · ICML

    Re-evaluating Word Mover’s Distance

    掲載ID: pmlr:v162:sato22b

    Ryoma Sato, Makoto Yamada, Hisashi Kashima

    Machine Learning

    京都大学

  3. 2022 · NeurIPS

    Learning Deep Input-Output Stable Dynamics

    掲載ID: neurips:2022:364721b3d5d9da2aaa19adafd7b0f49c

    Ryosuke Kojima [京都大学] [東京科学大学], Yuji Okamoto

    Machine Learning

    東京科学大学 / 京都大学

  4. 2022 · NeurIPS

    Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification

    掲載ID: neurips:2022:43c18853329c7504996b255252b6cb1f

    Junpei Komiyama, Taira Tsuchiya, Junya Honda

    Machine Learning

    京都大学

  5. 2022 · NeurIPS

    Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs

    掲載ID: neurips:2022:b7aea253ab34a773967f1e4cdea9e4fb

    Shinji Ito, Taira Tsuchiya, Junya Honda

    Machine Learning

    京都大学

  6. 2022 · NeurIPS

    Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms

    掲載ID: neurips:2022:bbc9d480a8257889d2af88983e8b126a

    Paavo Parmas, Takuma Seno

    Machine Learning

    慶應義塾大学 / 京都大学

2021年

  1. 2021 · ICML

    Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences

    掲載ID: pmlr:v139:yamane21a

    Ikko Yamane, Junya Honda, Florian Yger, Masashi Sugiyama

    Machine Learning

    京都大学 / 東京大学

  2. 2021 · ICML

    Post-selection inference with HSIC-Lasso

    掲載ID: pmlr:v139:freidling21a

    Tobias Freidling, Benjamin Poignard, Héctor Climente-González, Makoto Yamada

    Machine Learning

    京都大学 / 大阪大学

  3. 2021 · ICML

    Supervised Tree-Wasserstein Distance

    掲載ID: pmlr:v139:takezawa21a

    Yuki Takezawa, Ryoma Sato, Makoto Yamada

    Machine Learning

    京都大学

  4. 2021 · NeurIPS

    Adversarial Regression with Doubly Non-negative Weighting Matrices

    掲載ID: neurips:2021:8cfef17bee2b7a75a3ce09d40b497f6b

    Tam Le, Truyen Nguyen, Makoto Yamada, Jose Blanchet, Viet Anh Nguyen

    Machine Learning

    京都大学

  5. 2021 · NeurIPS

    Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares

    掲載ID: neurips:2021:7b5b23f4aadf9513306bcd59afb6e4c9

    Hiroaki Yamada, Makoto Yamada

    Machine Learning

    京都大学

  6. 2021 · NeurIPS

    Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis

    掲載ID: neurips:2021:31917677a66c6eddd3ab1f68b0679e2f

    Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima

    Machine Learning

    京都大学 / 東京大学

  7. 2021 · NeurIPS

    Weighted model estimation for offline model-based reinforcement learning

    掲載ID: neurips:2021:949694a5059302e7283073b502f094d7

    Toru Hishinuma, Kei Senda

    Machine Learning

    京都大学

掲載対象外の論文や未反映の論文は、この一覧には含まれません。