Continuous Optimization

When and why randomised exploration works (in linear bandits) ALT 2025 When to Forget? Complexity Trade-offs in Machine Unlearning ICML 2025 Your Assumed DAG is Wrong And Here’s How To Deal With It CLeaR 2025 Α Descent-based Method on the Duality Gap for Solving Zero-sum Games IJCAI 2025 A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024 Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses AISTATS 2024 Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion ICML 2024 Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024 Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces ICML 2024 Accelerating ERM for data-driven algorithm design using output-sensitive techniques NeurIPS 2024 Accelerating Neural Field Training via Soft Mining CVPR 2024 Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024 Accelerating PDE Data Generation via Differential Operator Action in Solution Space ICML 2024 Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024 Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values NeurIPS 2024 Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization NeurIPS 2024 A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation IJCAI 2024 A Computational Framework for Solving Wasserstein Lagrangian Flows ICML 2024 A connection between Tempering and Entropic Mirror Descent ICML 2024 Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice ICML 2024 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024 Adaptive Observation Cost Control for Variational Quantum Eigensolvers ICML 2024 Adaptive Proximal Gradient Method for Convex Optimization NeurIPS 2024 Adaptive Proximal Gradient Methods Are Universal Without Approximation ICML 2024