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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 Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions AAAI 2021 Near Optimal Reward-Free Reinforcement Learning ICML 2021 Near-tight Closure Bounds for the Littlestone and Threshold Dimensions ALT 2021 Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions AAAI 2021 NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform NeurIPS 2021 Nested Variational Inference NeurIPS 2021 NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization CVPR 2021 Network Inference and Influence Maximization from Samples ICML 2021 Network Quantization With Element-Wise Gradient Scaling CVPR 2021 Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization NeurIPS 2021 NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation JMLR 2021 Neural Active Learning with Performance Guarantees NeurIPS 2021 Neural Approximate Sufficient Statistics for Implicit Models ICLR 2021 Neural Architecture Search as Sparse Supernet AAAI 2021 Neural Architecture Search of SPD Manifold Networks IJCAI 2021 Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective ICLR 2021 Neural Architecture Search without Training ICML 2021 Neural Architecture Search With Random Labels CVPR 2021 Neural Bootstrapper NeurIPS 2021 Neural Delay Differential Equations ICLR 2021 Neural-Driven Search-Based Paraphrase Generation EACL 2021 Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference AISTATS 2021 Neural Flows: Efficient Alternative to Neural ODEs NeurIPS 2021 Neuralizing Regular Expressions for Slot Filling EMNLP 2021 Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering ICLR 2021