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Poster
Wed 9:00 Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
Tianyi Lin · Zeyu Zheng · Michael Jordan
Workshop
Sat 9:30 Niao He, Simple Fixes for Adaptive Gradient Methods for Nonconvex Min-Max Optimization
Niao He
Poster
Thu 9:00 Automatic Differentiation of Programs with Discrete Randomness
Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas
Workshop
Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
Chhavi Sharma · Vishnu Narayanan · Balamurugan Palaniappan
Poster
Thu 9:00 Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying
Workshop
Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization
Chris Junchi Li · Angela Yuan · Gauthier Gidel · Michael Jordan
Poster
Thu 14:00 Recursive Reasoning in Minimax Games: A Level k Gradient Play Method
Zichu Liu · Lacra Pavel
Workshop
Quadratic minimization: from conjugate gradients to an adaptive heavy-ball method with Polyak step-sizes
Baptiste Goujaud · Adrien Taylor · Aymeric Dieuleveut
Poster
Tue 14:00 A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi
Poster
Tue 14:00 Learning Mixed Multinomial Logits with Provable Guarantees
Yiqun Hu · David Simchi-Levi · Zhenzhen Yan
Poster
Wed 14:00 Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Pouria Mahdavinia · Yuyang Deng · Haochuan Li · Mehrdad Mahdavi
Workshop
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
Aleksandr Beznosikov · Eduard Gorbunov · Hugo Berard · Nicolas Loizou