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Papers
Convergence and Sample Complexity of Natural Policy Gradient Primal-Dual Methods for Constrained MDPs
JMLR 2025
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
JMLR 2025
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
NeurIPS 2024
Non-asymptotic Convergence of Training Transformers for Next-token Prediction
NeurIPS 2024
Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models
NeurIPS 2024
Projection-Free Optimization on Uniformly Convex Sets
AISTATS 2021
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization
AISTATS 2020
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme
NeurIPS 2019
Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions
COLT 2019
Feasible Arm Identification
ICML 2018
Frank-Wolfe with Subsampling Oracle
ICML 2018
On Matching Pursuit and Coordinate Descent
ICML 2018