Mathematics & Optimization

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 Accelerating Relative Entropy Coding with Space Partitioning NeurIPS 2024 Accelerating Sinkhorn algorithm with sparse Newton iterations ICLR 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 Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint) AAAI 2024 Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process NeurIPS 2024 Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization NeurIPS 2024 Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NeurIPS 2024 Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NeurIPS 2024 A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams AAAI 2024 ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation ICML 2024 A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem NeurIPS 2024 A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent JMLR 2024 A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed Manna IJCAI 2024 A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression 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 A Context-Enhanced Framework for Sequential Graph Reasoning IJCAI 2024 A Contextual Combinatorial Bandit Approach to Negotiation ICML 2024 Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice ICML 2024 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NeurIPS 2024