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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)

Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014 Optimal learners for multiclass problems COLT 2014 Optimal Mean Robust Principal Component Analysis ICML 2014 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014 Optimal prior-dependent neural population codes under shared input noise NeurIPS 2014 Optimal rates for k-NN density and mode estimation NeurIPS 2014 Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers NeurIPS 2014 Optimal Teaching for Limited-Capacity Human Learners NeurIPS 2014 Optimistic Planning in Markov Decision Processes Using a Generative Model NeurIPS 2014 Optimization Equivalence of Divergences Improves Neighbor Embedding ICML 2014 Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NeurIPS 2014 Optimizing Average Precision using Weakly Supervised Data CVPR 2014 Optimizing Energy Production Using Policy Search and Predictive State Representations NeurIPS 2014 Optimizing F-Measures by Cost-Sensitive Classification NeurIPS 2014 Optimizing Over Radial Kernels on Compact Manifolds CVPR 2014 Orbit Regularization NeurIPS 2014 Outlier Path: A Homotopy Algorithm for Robust SVM ICML 2014 PAC-Bayesian AUC classification and scoring NeurIPS 2014 PAC-Bayesian Collective Stability AISTATS 2014 PAC-Bayesian Theory for Transductive Learning AISTATS 2014 PAC-inspired Option Discovery in Lifelong Reinforcement Learning ICML 2014 Pan-sharpening with a Bayesian nonparametric dictionary learning model AISTATS 2014 Parallel Direction Method of Multipliers NeurIPS 2014 Parallel Double Greedy Submodular Maximization NeurIPS 2014 Parallel Feature Selection Inspired by Group Testing NeurIPS 2014