conftrace_

Mathematics & Optimization

19,283 papers (0 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (14,850) Mathematics (6,356) Probability (617) Statistics (361) Discrete Mathematics (23)

Papers per year

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8

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8

24

100

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125

139

182

227

311

530

574

599

676

880

1,053

1,491

1,739

1,880

1,904

2,070

2,345

1,785

517

2000

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Papers (including subtopics)

Active Ranking and Matchmaking, with Perfect Matchings ICML 2024 AdaLomo: Low-memory Optimization with Adaptive Learning Rate ACL 2024 Adam with model exponential moving average is effective for nonconvex optimization NeurIPS 2024 Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search AAAI 2024 Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies ALT 2024 Adaptive Conformal Inference by Betting ICML 2024 Adaptive Experimentation When You Can't Experiment NeurIPS 2024 Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024 Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024 Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds COLT 2024 Adaptively Learning to Select-Rank in Online Platforms ICML 2024 Adaptively Perturbed Mirror Descent for Learning in Games ICML 2024 Adaptive Observation Cost Control for Variational Quantum Eigensolvers ICML 2024 Adaptive Online Experimental Design for Causal Discovery ICML 2024 Adaptive online non-stochastic control L4DC 2024 Adaptive Proximal Gradient Method for Convex 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 Adaptive Softassign via Hadamard-Equipped Sinkhorn CVPR 2024 Adaptive Stabilization Based on Machine Learning for Column Generation ICML 2024 Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning ICLR 2024 Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions NeurIPS 2024 Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization JMLR 2024