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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)

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process ICML 2014 A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NeurIPS 2014 A Boosting Framework on Grounds of Online Learning NeurIPS 2014 Accelerated Mini-batch Randomized Block Coordinate Descent Method NeurIPS 2014 Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization ICML 2014 Accelerated Stochastic Gradient Method for Composite Regularization AISTATS 2014 Accelerating ABC methods using Gaussian processes AISTATS 2014 Accurate Localization and Pose Estimation for Large 3D Models CVPR 2014 A Compilation Target for Probabilistic Programming Languages ICML 2014 A Complete Variational Tracker NeurIPS 2014 A Consistent Histogram Estimator for Exchangeable Graph Models ICML 2014 A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014 A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates COLT 2014 Active Area Search via Bayesian Quadrature AISTATS 2014 Active Learning and Best-Response Dynamics NeurIPS 2014 Active Learning Using Smooth Relative Regret Approximations with Applications JMLR 2014 Active Regression by Stratification NeurIPS 2014 Adaptive Minimax Regression Estimation over Sparse ℓ_q-Hulls JMLR 2014 Adaptive Monte Carlo via Bandit Allocation ICML 2014 Adaptive Partial Differential Equation Learning for Visual Saliency Detection CVPR 2014 Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm ICML 2014 Adaptivity of Averaged Stochastic Gradient Descent to Local Strong Convexity for Logistic Regression JMLR 2014 A Deep and Tractable Density Estimator ICML 2014 A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NeurIPS 2014 Admixture of Poisson MRFs: A Topic Model with Word Dependencies ICML 2014