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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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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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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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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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Workshop
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BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Mao Ye · Bo Liu · Stephen Wright · Peter Stone · Qiang Liu
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Workshop
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Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models: First-Order Stationarity
Yuchen Fang · Sen Na · Mladen Kolar
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Poster
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Wed 14:00
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BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Bo Liu · Mao Ye · Stephen Wright · Peter Stone · Qiang Liu
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Workshop
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FO-PINNs: A First-Order formulation for Physics~Informed Neural Networks
Rini Jasmine Gladstone · Mohammad Amin Nabian · Hadi Meidani
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Poster
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Wed 9:00
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Reproducibility in Optimization: Theoretical Framework and Limits
Kwangjun Ahn · Prateek Jain · Ziwei Ji · Satyen Kale · Praneeth Netrapalli · Gil I Shamir
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Poster
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Wed 14:00
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Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound
Charles Guille-Escuret · Adam Ibrahim · Baptiste Goujaud · Ioannis Mitliagkas
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Poster
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Thu 14:00
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First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Michael Jordan · Tianyi Lin · Emmanouil-Vasileios Vlatakis-Gkaragkounis
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