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Optimization & Theory

43,292 papers (3 classified directly here)

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

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models AISTATS 2022 Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond AISTATS 2022 Optimal-er Auctions through Attention NeurIPS 2022 Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022 Optimal Local Explainer Aggregation for Interpretable Prediction AAAI 2022 Optimal Mean Estimation without a Variance COLT 2022 (Optimal) Online Bipartite Matching with Degree Information NeurIPS 2022 Optimal partition recovery in general graphs AISTATS 2022 Optimal Rates for Regularized Conditional Mean Embedding Learning NeurIPS 2022 Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022 Optimal Sampling Gaps for Adaptive Submodular Maximization AAAI 2022 Optimal Scaling for Locally Balanced Proposals in Discrete Spaces NeurIPS 2022 Optimal SQ Lower Bounds for Learning Halfspaces with Massart Noise COLT 2022 Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models COLT 2022 Optimal Tensor Transport AAAI 2022 Optimal thyroplasty implant shape and stiffness for treatment of acute unilateral vocal fold paralysis: Evidence from a canine in vivo phonation model Interspeech 2022 Optimal Training of Fair Predictive Models CLeaR 2022 Optimal Transport for Causal Discovery ICLR 2022 Optimal Transport for Stationary Markov Chains via Policy Iteration JMLR 2022 Optimal transport with f-divergence regularization and generalized Sinkhorn algorithm AISTATS 2022 Optimal Weak to Strong Learning NeurIPS 2022 Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees NeurIPS 2022 Optimistic Tree Searches for Combinatorial Black-Box Optimization NeurIPS 2022 Optimization and Adaptive Generalization of Three layer Neural Networks ICLR 2022 Optimization-Based Separations for Neural Networks COLT 2022