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Spotlight
Wed 14:45 Reachability Constrained Reinforcement Learning
Dongjie Yu · Haitong Ma · Shengbo Li · Jianyu Chen
Spotlight
Wed 14:45 Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
Shion Takeno · Tomoyuki Tamura · Kazuki Shitara · Masayuki Karasuyama
Poster
Thu 15:00 Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization
Samuel Hurault · Arthur Leclaire · Nicolas Papadakis
Poster
Tue 15:30 Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning
Chang Liu · Chenfei Lou · Runzhong Wang · Alan Yuhan Xi · Li Shen · Junchi Yan
Poster
Tue 15:30 High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
Shaojie Li · Yong Liu
Spotlight
Thu 11:40 Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
Jungbin Kim · Insoon Yang
Spotlight
Tue 14:40 Accurate Quantization of Measures via Interacting Particle-based Optimization
Lantian Xu · Anna Korba · Dejan Slepcev
Poster
Thu 15:00 A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Vijay Keswani · Oren Mangoubi · Sushant Sachdeva · Nisheeth K. Vishnoi
Oral
Thu 11:15 A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Vijay Keswani · Oren Mangoubi · Sushant Sachdeva · Nisheeth K. Vishnoi
Poster
Tue 15:30 When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
Dixian Zhu · Gang Li · Bokun Wang · Xiaodong Wu · Tianbao Yang
Poster
Thu 15:00 The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks
Xin Yu · Thiago Serra · Srikumar Ramalingam · Shandian Zhe
Spotlight
Tue 14:20 High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
Shaojie Li · Yong Liu