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84 Results
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Workshop
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Learning from a Learning User for Optimal Recommendations Fan Yao · Chuanhao Li · Denis Nekipelov · Hongning Wang · Haifeng Xu |
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Poster
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Thu 16:30 |
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning Tongzhou Wang · Antonio Torralba · Phillip Isola · Amy Zhang |
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Poster
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Tue 14:00 |
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo · Rong Jin · Jiebo Luo · Tianbao Yang |
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Poster
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Thu 16:30 |
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems Aaron Ferber · Taoan Huang · Daochen Zha · Martin Schubert · Benoit Steiner · Bistra Dilkina · Yuandong Tian |
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Poster
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Thu 16:30 |
Learning to Optimize Differentiable Games Xuxi Chen · Nelson Vadori · Tianlong Chen · Zhangyang “Atlas” Wang |
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Poster
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Tue 14:00 |
Optimizing Mode Connectivity for Class Incremental Learning Haitao Wen · haoyang cheng · Heqian Qiu · Lanxiao Wang · Lili Pan · Hongliang Li |
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Workshop
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Learning with Primal-Dual Spectral Risk Measures: a Fast Incremental Algorithm Ronak Mehta · Vincent Roulet · Krishna Pillutla · Zaid Harchaoui |
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Poster
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Wed 17:00 |
Optimal Convergence Rates for Agnostic Nyström Kernel Learning Jian Li · Yong Liu · Weiping Wang |
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Workshop
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Sat 13:45 |
Stefanie Jegelka: Learning discrete optimization: Loss functions and graph neural networks |
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Poster
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Tue 17:00 |
Doubly Optimal No-Regret Learning in Monotone Games Yang Cai · Weiqiang Zheng |
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Poster
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Thu 16:30 |
Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L♮-Convex Function Minimization Shinsaku Sakaue · Taihei Oki |
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Workshop
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SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems Aaron Ferber · Taoan Huang · Daochen Zha · Martin Schubert · Benoit Steiner · Bistra Dilkina · Yuandong Tian |