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Poster
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Thu 9:00
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Optimal and Adaptive Monteiro-Svaiter Acceleration
Yair Carmon · Danielle Hausler · Arun Jambulapati · Yujia Jin · Aaron Sidford
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Poster
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Thu 9:00
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Chaotic Dynamics are Intrinsic to Neural Network Training with SGD
Luis Herrmann · Maximilian Granz · Tim Landgraf
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Workshop
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Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
Tong Yang · Michael Jordan · Tatjana Chavdarova
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Workshop
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Perseus: A Simple and Optimal High-Order Method for Variational Inequalities
Tianyi Lin · Michael Jordan
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Poster
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Thu 9:00
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Towards Safe Reinforcement Learning with a Safety Editor Policy
Haonan Yu · Wei Xu · Haichao Zhang
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Poster
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Wed 14:00
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Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber
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Workshop
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An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization
Elvin Lo · Pin-Yu Chen
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Poster
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Tue 14:00
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Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization
Feihu Huang · Shangqian Gao · Jian Pei · Heng Huang
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Poster
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Tue 14:00
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The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization
Dmitry Kovalev · Alexander Gasnikov
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Poster
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Wed 9:00
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Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Yao Yao · Qihang Lin · Tianbao Yang
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Poster
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Wed 14:00
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Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality
Ilyas Fatkhullin · Jalal Etesami · Niao He · Negar Kiyavash
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Poster
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Tue 9:00
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Single Loop Gaussian Homotopy Method for Non-convex Optimization
Hidenori Iwakiri · Yuhang Wang · Shinji Ito · Akiko Takeda
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