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大学 × Machine Learning

慶應義塾大学

Machine Learning / 2022–2026 LIVE

掲載論文 17 本

論文一覧

17 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 17 本と一致しています。

2026年

  1. 2026 · ICLR

    Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching

    掲載ID: iclr:2026:825150adf7ecf1969eabf68afab6f9d3

    Ren Kishimoto, Rikiya Takehi, Koichi Tanaka, Yoji Tomita, Masahiro Nomura, Riku Togashi, Yuta Saito

    Machine Learning

    東京科学大学 / 慶應義塾大学 / 早稲田大学

  2. 2026 · ICLR

    Off-Policy Evaluation for Ranking Policies under Deterministic Logging Policies

    掲載ID: iclr:2026:c6af791af7ef0f3e02bccef011211ca5

    Koichi Tanaka, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Yuki Sasamoto, Kei Tateno, Takuma Udagawa, Wei-Wei Du, Yuta Saito

    Machine Learning

    慶應義塾大学

  3. 2026 · ICML

    Log-Normal Multiplicative Dynamics for Stable Low-Precision Deep Learning

    掲載ID: openreview:bqk1qnxcqm

    Keigo Nishida, Eren Mehmet KIRAL, Kenichi Bannai, Mohammad Emtiyaz Khan, Thomas Moellenhoff

    Machine Learning

    慶應義塾大学

  4. 2026 · ICML

    Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments

    掲載ID: openreview:mlzltzepbr

    Naoki Chihara, Tatsushi Oka, Yasuko Matsubara, Yasushi Sakurai, Shota Yasui

    Machine Learning

    慶應義塾大学 / 大阪大学

2025年

  1. 2025 · ICLR

    Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems

    掲載ID: iclr:2025:d7af02c8a8e26608199c087f50a21d37

    Ruochen Jiao, Shaoyuan Xie, Justin Yue, TAKAMI SATO, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu

    Machine Learning

    慶應義塾大学

  2. 2025 · ICLR

    MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba

    掲載ID: iclr:2025:eab69250e98b1f9fc54e473cc7a69439

    Masakazu Yoshimura, Teruaki Hayashi, Yota Maeda

    Machine Learning

    慶應義塾大学

  3. 2025 · ICML

    AAAR-1.0: Assessing AI’s Potential to Assist Research

    掲載ID: pmlr:v267:lou25c

    Renze Lou, Hanzi Xu, Sijia Wang, Jiangshu Du, Ryo Kamoi, Xiaoxin Lu, Jian Xie, Yuxuan Sun, Yusen Zhang, Jihyun Janice Ahn, Hongchao Fang, Zhuoyang Zou, Wenchao Ma, Xi Li, Kai Zhang, Congying Xia, Lifu Huang, Wenpeng Yin

    Machine Learning

    慶應義塾大学

  4. 2025 · ICML

    Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization

    掲載ID: pmlr:v267:gao25d

    Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu

    Machine Learning

    慶應義塾大学

  5. 2025 · ICML

    On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization

    掲載ID: pmlr:v267:byambadalai25a

    Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui

    Machine Learning

    慶應義塾大学

  6. 2025 · NeurIPS

    Beyond the Average: Distributional Causal Inference under Imperfect Compliance

    掲載ID: neurips:2025:62fe03e97f70b2d004d684d707d990eb

    Undral Byambadalai, Tomu Hirata, Tatsushi Oka, Shota Yasui

    Machine Learning

    慶應義塾大学

  7. 2025 · NeurIPS

    Towards Predicting Any Human Trajectory In Context

    掲載ID: neurips:2025:46f0114c06524debc60ef2a72769f7a9

    Ryo Fujii, Hideo Saito, Ryo Hachiuma

    Machine Learning

    慶應義塾大学

2024年

  1. 2024 · ICLR

    Safe Collaborative Filtering

    掲載ID: iclr:2024:bbd010aed9a0d7f56144bd5dcaa95b9e

    Riku Togashi, Tatsushi Oka, Naoto Ohsaka, Tetsuro Morimura

    Machine Learning

    慶應義塾大学

  2. 2024 · ICML

    Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction

    掲載ID: pmlr:v235:byambadalai24a

    Undral Byambadalai, Tatsushi Oka, Shota Yasui

    Machine Learning

    慶應義塾大学

  3. 2024 · ICML

    The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning

    掲載ID: pmlr:v235:li24bc

    Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew Bo Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Ariel Herbert-Voss, Cort B Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Lin, Adam Alfred Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Ian Steneker, David Campbell, Brad Jokubaitis, Steven Basart, Stephen Fitz, Ponnurangam Kumaraguru, Kallol Krishna Karmakar, Uday Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks

    Machine Learning

    慶應義塾大学

2023年

  1. 2023 · NeurIPS

    Bandit Task Assignment with Unknown Processing Time

    掲載ID: neurips:2023:1c5ee7343f396954377c2c16dda33a96

    Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

    Machine Learning

    中央大学 / 東京科学大学 / 慶應義塾大学

2022年

  1. 2022 · ICLR

    Learning Causal Models from Conditional Moment Restrictions by Importance Weighting

    掲載ID: iclr:2022:02f039058bd48307e6f653a2005c9dd2

    Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi

    Machine Learning

    慶應義塾大学 / 東京大学

  2. 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

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。