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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)

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization ICCV 2021 NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search AAAI 2021 Natural continual learning: success is a journey, not (just) a destination NeurIPS 2021 Natural Language Video Localization with Learnable Moment Proposals EMNLP 2021 Navigating to the Best Policy in Markov Decision Processes NeurIPS 2021 NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract) AAAI 2021 Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications AISTATS 2021 Near Lossless Transfer Learning for Spiking Neural Networks AAAI 2021 (Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces COLT 2021 Nearly Horizon-Free Offline Reinforcement Learning NeurIPS 2021 Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs NeurIPS 2021 Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes COLT 2021 Near-Optimal Data Source Selection for Bayesian Learning L4DC 2021 Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021 Near-Optimal Entrywise Sampling of Numerically Sparse Matrices COLT 2021 Near-Optimal Linear Regression under Distribution Shift ICML 2021 Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness NeurIPS 2021 Near-Optimal MNL Bandits Under Risk Criteria AAAI 2021 Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs ICML 2021 Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning NeurIPS 2021 Near-Optimal No-Regret Learning in General Games NeurIPS 2021 Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems NeurIPS 2021 Near-Optimal Offline Reinforcement Learning via Double Variance Reduction NeurIPS 2021 Near Optimal Policy Optimization via REPS NeurIPS 2021 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021