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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)

Online Learning in Stackelberg Games with an Omniscient Follower ICML 2023 Online learning of long-range dependencies NeurIPS 2023 Online Learning with Feedback Graphs: The True Shape of Regret ICML 2023 Online Learning with Off-Policy Feedback ALT 2023 Online Local Differential Private Quantile Inference via Self-normalization ICML 2023 Online Low Rank Matrix Completion ICLR 2023 Online Mechanism Design for Information Acquisition ICML 2023 Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost NeurIPS 2023 Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback COLT 2023 Online Nonstochastic Control with Adversarial and Static Constraints ICML 2023 Online Non-stochastic Control with Partial Feedback JMLR 2023 Online Nonstochastic Model-Free Reinforcement Learning NeurIPS 2023 Online PCA in Converging Self-consistent Field Equations NeurIPS 2023 Online Platforms and the Fair Exposure Problem under Homophily AAAI 2023 Online Platt Scaling with Calibeating ICML 2023 Online Pricing for Multi-User Multi-Item Markets NeurIPS 2023 Online Reinforcement Learning in Stochastic Continuous-Time Systems COLT 2023 Online Reinforcement Learning with Uncertain Episode Lengths AAAI 2023 Online Restless Bandits with Unobserved States ICML 2023 Online RL in Linearly q^π-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore NeurIPS 2023 Online robust non-stationary estimation NeurIPS 2023 Online Saddle Point Tracking with Decision-Dependent Data L4DC 2023 Online Semi-supervised Learning with Mix-Typed Streaming Features AAAI 2023 Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval JMLR 2023 Online switching control with stability and regret guarantees L4DC 2023