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Poster
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Thu 15:00
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UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
Kimon Antonakopoulos · Dong Quan Vu · Volkan Cevher · Kfir Levy · Panayotis Mertikopoulos
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Spotlight
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Wed 14:45
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Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound
Shion Takeno · Tomoyuki Tamura · Kazuki Shitara · Masayuki Karasuyama
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Poster
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Wed 15:30
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Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
Giannis Daras · Yuval Dagan · Alexandros Dimakis · Constantinos Daskalakis
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Poster
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Tue 15:30
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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
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Poster
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Tue 15:30
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High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
Shaojie Li · Yong Liu
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Spotlight
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Thu 11:40
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Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis
Jungbin Kim · Insoon Yang
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Spotlight
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Wed 14:45
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Reachability Constrained Reinforcement Learning
Dongjie Yu · Haitong Ma · Shengbo Li · Jianyu Chen
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Spotlight
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Tue 14:40
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Accurate Quantization of Measures via Interacting Particle-based Optimization
Lantian Xu · Anna Korba · Dejan Slepcev
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Poster
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Tue 15:30
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Accurate Quantization of Measures via Interacting Particle-based Optimization
Lantian Xu · Anna Korba · Dejan Slepcev
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Poster
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Tue 15:30
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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
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Poster
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Thu 15:00
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A Convergent and Dimension-Independent Min-Max Optimization Algorithm
Vijay Keswani · Oren Mangoubi · Sushant Sachdeva · Nisheeth K. Vishnoi
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Poster
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Thu 15:00
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Communication-efficient Distributed Learning for Large Batch Optimization
Rui Liu · Barzan Mozafari
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