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Poster
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Thu 9:00
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Automatic Differentiation of Programs with Discrete Randomness
Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas
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Workshop
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Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization
Chris Junchi Li · Angela Yuan · Gauthier Gidel · Michael Jordan
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Poster
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Thu 14:00
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Recursive Reasoning in Minimax Games: A Level Gradient Play Method
Zichu Liu · Lacra Pavel
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Workshop
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Quadratic minimization: from conjugate gradients to an adaptive heavy-ball method with Polyak step-sizes
Baptiste Goujaud · Adrien Taylor · Aymeric Dieuleveut
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Poster
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Wed 14:00
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Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Pouria Mahdavinia · Yuyang Deng · Haochuan Li · Mehrdad Mahdavi
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Workshop
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Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods
Aleksandr Beznosikov · Eduard Gorbunov · Hugo Berard · Nicolas Loizou
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Poster
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Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
Xuanyuan Luo · Bei Luo · Jian Li
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Workshop
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Conditional gradient-based method for bilevel optimization with convex lower-level problem
Ruichen Jiang · Nazanin Abolfazli · Aryan Mokhtari · Erfan Yazdandoost Hamedani
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Poster
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Tue 9:00
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Stability and Generalization for Markov Chain Stochastic Gradient Methods
Puyu Wang · Yunwen Lei · Yiming Ying · Ding-Xuan Zhou
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Poster
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Wed 14:00
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On the convergence of policy gradient methods to Nash equilibria in general stochastic games
Angeliki Giannou · Kyriakos Lotidis · Panayotis Mertikopoulos · Emmanouil-Vasileios Vlatakis-Gkaragkounis
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Poster
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Tue 9:00
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Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions
Saeed Masiha · Saber Salehkaleybar · Niao He · Negar Kiyavash · Patrick Thiran
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Poster
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Tue 9:00
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Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution
Antonio Orvieto · Simon Lacoste-Julien · Nicolas Loizou
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