Workshop

Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
Tong Yang · Michael Jordan · Tatjana Chavdarova

Poster

Thu 9:00

Towards Safe Reinforcement Learning with a Safety Editor Policy
Haonan Yu · Wei Xu · Haichao Zhang

Poster

Wed 14:00

Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber

Poster

Tue 14:00

Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization
Feihu Huang · Shangqian Gao · Jian Pei · Heng Huang

Poster

Wed 9:00

Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Yao Yao · Qihang Lin · Tianbao Yang

Workshop

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Mao Ye · Bo Liu · Stephen Wright · Peter Stone · Qiang Liu

Poster

Wed 14:00

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Bo Liu · Mao Ye · Stephen Wright · Peter Stone · Qiang Liu

Workshop

Workshop

FO-PINNs: A First-Order formulation for Physics~Informed Neural Networks
Rini Jasmine Gladstone · Mohammad Amin Nabian · Hadi Meidani

Poster

Wed 9:00

Reproducibility in Optimization: Theoretical Framework and Limits
Kwangjun Ahn · Prateek Jain · Ziwei Ji · Satyen Kale · Praneeth Netrapalli · Gil I Shamir

Poster

Wed 14:00

Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound
Charles Guille-Escuret · Adam Ibrahim · Baptiste Goujaud · Ioannis Mitliagkas

Poster

Thu 14:00

First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Michael Jordan · Tianyi Lin · Emmanouil-Vasileios Vlatakis-Gkaragkounis