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Workshop
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Fri 15:05
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Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
Zhiwei Tang · Dmitry Rybin · Tsung-Hui Chang
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Poster
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Thu 16:30
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Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver
Xinyu Ye · Ge Yan · Junchi Yan
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Tutorial
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Mon 12:30
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Optimal Transport in Learning, Control, and Dynamical Systems
Charlotte Bunne · marco cuturi
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Workshop
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Global Optimality in Bivariate Gradient-based DAG Learning
Chang Deng · Kevin Bello · Pradeep Ravikumar · Bryon Aragam
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Workshop
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Incentivizing Honesty among Competitors in Collaborative Learning
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Oral
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Tue 21:10
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Bayes-optimal Learning of Deep Random Networks of Extensive-width
Hugo Cui · FLORENT KRZAKALA · Lenka Zdeborova
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Poster
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Thu 13:30
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Bayes-optimal Learning of Deep Random Networks of Extensive-width
Hugo Cui · FLORENT KRZAKALA · Lenka Zdeborova
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Poster
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Wed 17:00
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Supported Trust Region Optimization for Offline Reinforcement Learning
Yixiu Mao · Hongchang Zhang · Chen Chen · Yi Xu · Xiangyang Ji
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Workshop
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Proximal Compositional Optimization for Distributionally Robust Learning
Prashant Khanduri · Chengyin Li · RAFI IBN SULTAN · Yao Qiang · Joerg Kliewer · Dongxiao Zhu
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Poster
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Tue 17:00
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Towards Constituting Mathematical Structures for Learning to Optimize
Jialin Liu · Xiaohan Chen · Zhangyang “Atlas” Wang · Wotao Yin · HanQin Cai
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Poster
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Thu 13:30
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DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning
Tomoya Murata · Taiji Suzuki
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Workshop
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Fri 12:00
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On optimal control and machine learning
Brandon Amos
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