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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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Papers (including subtopics)

Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling COLT 2022 Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network NeurIPS 2022 Nonnegative Low-Rank Tensor Completion via Dual Formulation With Applications to Image and Video Completion WACV 2022 Nonparametric adaptive control and prediction: theory and randomized algorithms JMLR 2022 Nonparametric Embeddings of Sparse High-Order Interaction Events ICML 2022 Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition ICML 2022 Non-parametric Inference Adaptive to Intrinsic Dimension CLeaR 2022 Nonparametric Involutive Markov Chain Monte Carlo ICML 2022 Nonparametric Neighborhood Selection in Graphical Models JMLR 2022 Nonparametric Relational Models with Superrectangulation AISTATS 2022 Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes ICML 2022 Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NeurIPS 2022 Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret NeurIPS 2022 Non-stationary Bandits with Knapsacks NeurIPS 2022 Non-stationary Online Learning with Memory and Non-stochastic Control AISTATS 2022 Nonstochastic Bandits and Experts with Arm-Dependent Delays AISTATS 2022 Nonstochastic Bandits with Composite Anonymous Feedback JMLR 2022 Non-Uniform Adversarially Robust Pruning AutoML 2022 Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation CVPR 2022 Non-Vacuous Generalisation Bounds for Shallow Neural Networks ICML 2022 No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation NeurIPS 2022 No-Regret Learning in Partially-Informed Auctions ICML 2022 Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-Resolution WACV 2022 Normalizing Flows for Knockoff-free Controlled Feature Selection NeurIPS 2022 Normalizing Mutual Information for Robust Adaptive Training for Translation EMNLP 2022