firstbacksecondback
153 Results
|
Workshop
|
Learning Optimizers for Local SGD Charles-Étienne Joseph · Benjamin Thérien · Abhinav Moudgil · Boris Knyazev · Eugene Belilovsky |
||
|
Poster
|
Tue 8:45 |
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model Laixi Shi · Gen Li · Yuting Wei · Yuxin Chen · Matthieu Geist · Yuejie Chi |
|
|
Poster
|
Thu 15:00 |
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning Zachary Charles · Nicole Mitchell · Krishna Pillutla · Michael Reneer · Zachary Garrett |
|
|
Workshop
|
DISTRIBUTIONALLY ROBUST MODEL-BASED REINFORCEMENT LEARNING WITH LARGE STATE SPACES Shyam Sundhar Ramesh · Pier Giuseppe Sessa · Yifan Hu · Andreas Krause · Ilija Bogunovic |
||
|
Poster
|
Tue 15:15 |
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs Zhuodong Yu · Ling Dai · Shaohang Xu · Siyang Gao · Chin Pang Ho |
|
|
Workshop
|
Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts Xiruo Ding · Zhecheng Sheng · Brian Hur · Feng Chen · Serguei Pakhomov · Trevor Cohen |
||
|
Workshop
|
Probing the Equivariance of Image Embeddings Cyrus Rashtchian · Charles Herrmann · Chun-Sung Ferng · Ayan Chakrabarti · Dilip Krishnan · Deqing Sun · Da-Cheng Juan · Andrew Tomkins |
||
|
Poster
|
Tue 15:15 |
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training Zhenyi Wang · Zhenyi Wang · Li Shen · Tongliang Liu · Tiehang Duan · Yanjun Zhu · Donglin Zhan · DAVID DOERMANN · Mingchen Gao |
|
|
Poster
|
Tue 8:45 |
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney · Mouhacine Benosman |
|
|
Workshop
|
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications Jiashuo Liu · Jiayun Wu · Tianyu Wang · Hao Zou · Peng Cui |
||
|
Poster
|
Wed 8:45 |
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence Yuki Takezawa · Ryoma Sato · Han Bao · Kenta Niwa · Makoto Yamada |
|
|
Poster
|
Wed 15:00 |
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose Blanchet · Miao Lu · Tong Zhang · Han Zhong |