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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)

Competing with the Empirical Risk Minimizer in a Single Pass COLT 2015 Competitive Distribution Estimation: Why is Good-Turing Good NeurIPS 2015 Complete Dictionary Recovery Using Nonconvex Optimization ICML 2015 Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM ICML 2015 Complexity of Equivalence and Learning for Multiplicity Tree Automata JMLR 2015 Component-Wise Modeling of Articulated Objects ICCV 2015 Composite Self-Concordant Minimization JMLR 2015 Computational Complexity of Linear Large Margin Classification With Ramp Loss AISTATS 2015 Computational Lower Bounds for Community Detection on Random Graphs COLT 2015 Computationally Bounded Retrieval CVPR 2015 Concave Penalized Estimation of Sparse Gaussian Bayesian Networks JMLR 2015 Conformal and Low-Rank Sparse Representation for Image Restoration ICCV 2015 Consensus Message Passing for Layered Graphical Models AISTATS 2015 Consistency of structured output learning with missing labels ACML 2015 Consistent estimation of dynamic and multi-layer block models ICML 2015 Consistent Multilabel Classification NeurIPS 2015 Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets JMLR 2015 Continuous-Time Trajectory Estimation for Event-based Vision Sensors RSS 2015 Convergence Analysis of Prediction Markets via Randomized Subspace Descent NeurIPS 2015 Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015 Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis JMLR 2015 Convergence Rates of Active Learning for Maximum Likelihood Estimation NeurIPS 2015 Convergence rates of sub-sampled Newton methods NeurIPS 2015 Convex Calibrated Surrogates for Hierarchical Classification ICML 2015 Convex Learning of Multiple Tasks and their Structure ICML 2015