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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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'25

Papers (including subtopics)

Analysis of Representations for Domain Adaptation NeurIPS 2006 An Efficient Implementation of an Active Set Method for SVMs JMLR 2006 An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NeurIPS 2006 An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NeurIPS 2006 A new inlier identification scheme for robust estimation problems RSS 2006 An Information Theoretic Framework for Eukaryotic Gradient Sensing NeurIPS 2006 A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NeurIPS 2006 An Oracle Inequality for Clipped Regularized Risk Minimizers NeurIPS 2006 A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical Systems NeurIPS 2006 A PAC-Bayes Risk Bound for General Loss Functions NeurIPS 2006 Approximate inference using planar graph decomposition NeurIPS 2006 A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006 A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests JMLR 2006 A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006 A Theory of Retinal Population Coding NeurIPS 2006 Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NeurIPS 2006 Automated Hierarchy Discovery for Planning in Partially Observable Environments NeurIPS 2006 A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis JMLR 2006 Balanced Graph Matching NeurIPS 2006 Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NeurIPS 2006 Bayesian Ensemble Learning NeurIPS 2006 Bayesian Image Super-resolution, Continued NeurIPS 2006 Bayesian Model Scoring in Markov Random Fields NeurIPS 2006 Bayesian Network Learning with Parameter Constraints JMLR 2006 Bayesian Policy Gradient Algorithms NeurIPS 2006