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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)

Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015 Multi-Image Matching via Fast Alternating Minimization ICCV 2015 Multi-Kernel Correlation Filter for Visual Tracking ICCV 2015 Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection NeurIPS 2015 Multi-Objective Convolutional Learning for Face Labeling CVPR 2015 Natural Neural Networks NeurIPS 2015 Nearly Optimal Private LASSO NeurIPS 2015 Nested Sequential Monte Carlo Methods ICML 2015 Neural Adaptive Sequential Monte Carlo NeurIPS 2015 Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma NeurIPS 2015 Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Rewards JMLR 2015 Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension ACML 2015 Non-convex Statistical Optimization for Sparse Tensor Graphical Model NeurIPS 2015 Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015 Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015 Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations NeurIPS 2015 Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015 No-Regret Learning in Bayesian Games NeurIPS 2015 Norm-Based Capacity Control in Neural Networks COLT 2015 Off-policy Model-based Learning under Unknown Factored Dynamics ICML 2015 On Anomaly Ranking and Excess-Mass Curves AISTATS 2015 On Consistent Surrogate Risk Minimization and Property Elicitation COLT 2015 On Convergence of Emphatic Temporal-Difference Learning COLT 2015 One-Day Outdoor Photometric Stereo via Skylight Estimation CVPR 2015 On Elicitation Complexity NeurIPS 2015