Poster
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Thu 13:30
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Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization
Chanyeong Kim · Jongwoong Park · Hyunglip Bae · Woo Chang Kim
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Oral
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Thu 18:16
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Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization
Chanyeong Kim · Jongwoong Park · Hyunglip Bae · Woo Chang Kim
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Affinity Workshop
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Mon 19:15
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Omega: Optimistic EMA Gradients
Juan Ramirez · Rohan Sukumaran · Quentin Bertrand · Gauthier Gidel
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Poster
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Tue 14:00
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Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
Qiwei Di · Jiafan He · Dongruo Zhou · Quanquan Gu
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Poster
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Tue 17:00
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Accelerated Stochastic Optimization Methods under Quasar-convexity
Qiang Fu · Dongchu Xu · Ashia Wilson
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Poster
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Tue 17:00
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Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity
Xuxing Chen · Minhui Huang · Shiqian Ma · Krishna Balasubramanian
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Poster
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Tue 17:00
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User-level Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily · Ziteng Sun
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Poster
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Wed 17:00
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Target-based Surrogates for Stochastic Optimization
Jonathan Lavington · Sharan Vaswani · Reza Babanezhad · Mark Schmidt · Nicolas Le Roux
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Poster
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Tue 17:00
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Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
Quanqi Hu · Zi-Hao Qiu · Zhishuai Guo · Lijun Zhang · Tianbao Yang
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Workshop
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Learning where to intervene with a differentiable top-k operator: Towards data-driven strategies to prevent fatal opioid overdoses
Kyle Heuton · Shikhar Shrestha · Thomas Stopka · Michael Hughes
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Poster
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Thu 16:30
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High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
Abdurakhmon Sadiev · Marina Danilova · Eduard Gorbunov · Samuel Horváth · Gauthier Gidel · Pavel Dvurechenskii · Alexander Gasnikov · Peter Richtarik
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Poster
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Tue 14:00
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Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
Elissa Mhanna · Mohamad Assaad
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