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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Near-Optimal Collaborative Learning in Bandits NeurIPS 2022 Near optimal efficient decoding from pooled data COLT 2022 Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments NeurIPS 2022 Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 2022 Near-Optimal Multi-Agent Learning for Safe Coverage Control NeurIPS 2022 Near-Optimal No-Regret Learning Dynamics for General Convex Games NeurIPS 2022 Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism ICLR 2022 Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs AISTATS 2022 Near-Optimal Private and Scalable k-Clustering NeurIPS 2022 Near-Optimal Randomized Exploration for Tabular Markov Decision Processes NeurIPS 2022 Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning NeurIPS 2022 Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback NeurIPS 2022 Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver ICLR 2022 Near-Optimal Sample Complexity Bounds for Constrained MDPs NeurIPS 2022 Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise COLT 2022 Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals COLT 2022 Negative curvature obstructs acceleration for strongly geodesically convex optimization, even with exact first-order oracles COLT 2022 Nested Bandits ICML 2022 Nesterov Accelerated Shuffling Gradient Method for Convex Optimization ICML 2022 Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization NeurIPS 2022 NetVRM: Virtual Register Memory for Programmable Networks NSDI 2022 Network change point localisation under local differential privacy NeurIPS 2022 NETWORK INSENSITIVITY TO PARAMETER NOISE VIA PARAMETER ATTACK DURING TRAINING ICLR 2022 NeuForm: Adaptive Overfitting for Neural Shape Editing NeurIPS 2022 NeuPL: Neural Population Learning ICLR 2022