Convex Optimization

The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control AISTATS 2025 Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent AISTATS 2025 Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity ICLR 2025 Unconstrained Robust Online Convex Optimization ICML 2025 Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024 Adam with model exponential moving average is effective for nonconvex optimization NeurIPS 2024 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 Adaptive Proximal Gradient Methods Are Universal Without Approximation ICML 2024 Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024 An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NeurIPS 2024 Analysis of Kernel Mirror Prox for Measure Optimization AISTATS 2024 A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise NeurIPS 2024 A Primal-Dual Approach to Solving Variational Inequalities with General Constraints ICLR 2024 A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle ICML 2024 A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles ICML 2024 Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium ICML 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Chasing Convex Functions with Long-term Constraints ICML 2024 Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization COLT 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory ACML 2024 Convergence of Some Convex Message Passing Algorithms to a Fixed Point ICML 2024 Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning ICML 2024 Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers ICML 2024 Density Ratio Estimation with Doubly Strong Robustness ICML 2024