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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)

Minimax-optimal Inference from Partial Rankings NeurIPS 2014 Min-Max Problems on Factor Graphs ICML 2014 Model-based Reinforcement Learning and the Eluder Dimension NeurIPS 2014 Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014 Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs RSS 2014 Most Correlated Arms Identification COLT 2014 Multiarmed Bandits With Limited Expert Advice COLT 2014 Multi-Class Deep Boosting NeurIPS 2014 Multi-Heuristic A* RSS 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NeurIPS 2014 Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies JMLR 2014 Multi-period Trading Prediction Markets with Connections to Machine Learning ICML 2014 Multiple Testing under Dependence via Semiparametric Graphical Models ICML 2014 Multiscale Centerline Detection by Learning a Scale-Space Distance Transform CVPR 2014 Multiscale Fields of Patterns NeurIPS 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 Multi-target Tracking with Motion Context in Tensor Power Iteration CVPR 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images CVPR 2014 Multivariate Maximal Correlation Analysis ICML 2014 Multivariate Regression with Calibration NeurIPS 2014 Multiview Shape and Reflectance from Natural Illumination CVPR 2014 Narrowing the Gap: Random Forests In Theory and In Practice ICML 2014 Natural Evolution Strategies JMLR 2014