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174 Results
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Workshop
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Enhancing Robustness of Foundation Model Representations under Provenance-related Distribution Shifts Xiruo Ding · Zhecheng Sheng · Brian Hur · Feng Chen · Serguei Pakhomov · Trevor Cohen |
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Poster
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Tue 15:15 |
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs Zhuodong Yu · Ling Dai · Shaohang Xu · Siyang Gao · Chin Pang Ho |
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Workshop
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Probing the Equivariance of Image Embeddings Cyrus Rashtchian · Charles Herrmann · Chun-Sung Ferng · Ayan Chakrabarti · Dilip Krishnan · Deqing Sun · Da-Cheng Juan · Andrew Tomkins |
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Poster
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Tue 8:45 |
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney · Mouhacine Benosman |
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Poster
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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 |
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Poster
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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 |
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Workshop
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Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications Jiashuo Liu · Jiayun Wu · Tianyu Wang · Hao Zou · Peng Cui |
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Workshop
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Sat 14:00 |
Panel Discussion Yang You · Olatunji Ruwase · Natalia Vassilieva · Mohammad Shoeybi · Ana Gainaru · Lionel Eyraud-Dubois · Jean Kossaifi |
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Poster
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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 |
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Poster
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Tue 15:15 |
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection Taehyeon Kim · Eric Lin · Junu Lee · Christian Lau · Vaikkunth Mugunthan |
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Workshop
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Sat 14:05 |
LASER: Linear Compression in Wireless Distributed Optimization Ashok Vardhan Makkuva · Marco Bondaschi · Thijs Vogels · Martin Jaggi · Hyeji Kim · Michael Gastpar |
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Poster
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Wed 8:45 |
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training Truong Thao Nguyen · Balazs Gerofi · Edgar Josafat Martinez-Noriega · François Trahay · Mohamed Wahib |