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Search All 2021 Events
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Algorithms
Algorithms; Algorithms
Algorithms -> Bandit Algorithms; Reinforcement Learning and Planning
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12 Results
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Poster
Thu 7:30
Explicit Regularization of Stochastic Gradient Methods through Duality
Anant Raj · Francis Bach
Poster
Wed 12:45
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency
yuyang deng · Mehrdad Mahdavi
Poster
Thu 7:30
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
Jan Achterhold · Joerg Stueckler
Poster
Wed 6:00
Direct-Search for a Class of Stochastic Min-Max Problems
Sotiris Anagnostidis · Aurelien Lucchi · Youssef Diouane
Poster
Wed 12:45
Follow Your Star: New Frameworks for Online Stochastic Matching with Known and Unknown Patience
Nathaniel Grammel · Brian Brubach · Wei Ma · Aravind Srinivasan
Poster
Wed 6:00
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
Jia-Jie Zhu · Wittawat Jitkrittum · Moritz Diehl · Bernhard Schölkopf
Poster
Tue 18:30
vqSGD: Vector Quantized Stochastic Gradient Descent
Venkata Gandikota · Daniel Kane · Raj Kumar Maity · Arya Mazumdar
Poster
Tue 18:30
Generalization Bounds for Stochastic Saddle Point Problems
Junyu Zhang · Mingyi Hong · Mengdi Wang · Shuzhong Zhang
Poster
Thu 7:30
Convergence Properties of Stochastic Hypergradients
Riccardo Grazzi · Massimiliano Pontil · Saverio Salzo
Poster
Tue 14:00
Sharp Analysis of a Simple Model for Random Forests
Jason Klusowski
Poster
Tue 18:30
Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Vo Nguyen Le Duy · Ichiro Takeuchi
Poster
Wed 6:00
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
Nicolas Loizou · Sharan Vaswani · Issam Hadj Laradji · Simon Lacoste-Julien
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