Convex Optimization

Alternating Mirror Descent for Constrained Min-Max Games NeurIPS 2022 An Algorithm for Learning Switched Linear Dynamics from Data NeurIPS 2022 Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets ICML 2022 Beyond L1: Faster and Better Sparse Models with skglm NeurIPS 2022 Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales COLT 2022 Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022 CCCP is Frank-Wolfe in disguise NeurIPS 2022 Clustering with Semidefinite Programming and Fixed Point Iteration JMLR 2022 Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox NeurIPS 2022 Conditional Gradients for the Approximately Vanishing Ideal AISTATS 2022 CoNSoLe: Convex Neural Symbolic Learning NeurIPS 2022 Convexity Certificates from Hessians NeurIPS 2022 Data-driven Control of Unknown Linear Systems via Quantized Feedback L4DC 2022 Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity NeurIPS 2022 Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning COLT 2022 Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent NeurIPS 2022 Efficient Projection-Free Online Convex Optimization with Membership Oracle COLT 2022 Exact Optimal Accelerated Complexity for Fixed-Point Iterations ICML 2022 Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022 Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods NeurIPS 2022 Fast Algorithms for Packing Proportional Fairness and its Dual NeurIPS 2022 Faster Algorithms for Learning Convex Functions ICML 2022 Faster Randomized Interior Point Methods for Tall/Wide Linear Programs JMLR 2022 Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NeurIPS 2022 Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe AISTATS 2022