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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 Fast, Consistent Kernel Two-Sample Test NeurIPS 2009 A Game-Theoretic Approach to Hypergraph Clustering NeurIPS 2009 A Gaussian Tree Approximation for Integer Least-Squares NeurIPS 2009 A Generalized Natural Actor-Critic Algorithm NeurIPS 2009 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 An Ab-initio tree-based exploration to enhance sampling of low-energy protein conformations RSS 2009 An Algorithm for Reading Dependencies from the Minimal Undirected Independence Map of a Graphoid that Satisfies Weak Transitivity JMLR 2009 Analysis of SVM with Indefinite Kernels NeurIPS 2009 An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems JMLR 2009 A Neural Implementation of the Kalman Filter NeurIPS 2009 An Integer Projected Fixed Point Method for Graph Matching and MAP Inference NeurIPS 2009 An LP View of the M-best MAP problem NeurIPS 2009 A Parameter-Free Classification Method for Large Scale Learning JMLR 2009 A Parameter-free Hedging Algorithm NeurIPS 2009 Application of Non Parametric Empirical Bayes Estimation to High Dimensional Classification JMLR 2009 Approximating displacement with the body velocity integral RSS 2009 Approximating MAP by Compensating for Structural Relaxations NeurIPS 2009 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NeurIPS 2009 A Smoothed Approximate Linear Program NeurIPS 2009 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NeurIPS 2009 A Stochastic approximation method for inference in probabilistic graphical models NeurIPS 2009 Asymptotically Optimal Regularization in Smooth Parametric Models NeurIPS 2009 Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing NeurIPS 2009 AUC optimization and the two-sample problem NeurIPS 2009 A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers NeurIPS 2009