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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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'10
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'25

Papers (including subtopics)

A Universal Well-Calibrated Algorithm for On-line Classification JMLR 2004 Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods JMLR 2004 Boosting as a Regularized Path to a Maximum Margin Classifier JMLR 2004 Computable Shell Decomposition Bounds JMLR 2004 Exact Bayesian Structure Discovery in Bayesian Networks JMLR 2004 Generalization Error Bounds for Threshold Decision Lists JMLR 2004 Knowledge-Based Kernel Approximation JMLR 2004 Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004 Learning the Kernel Matrix with Semidefinite Programming JMLR 2004 Lossless Online Bayesian Bagging JMLR 2004 Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004 No Unbiased Estimator of the Variance of K-Fold Cross-Validation JMLR 2004 Online Choice of Active Learning Algorithms JMLR 2004 On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition JMLR 2004 On the Importance of Small Coordinate Projections JMLR 2004 PAC-learnability of Probabilistic Deterministic Finite State Automata JMLR 2004 Preference Elicitation and Query Learning JMLR 2004 Rational Kernels: Theory and Algorithms JMLR 2004 Reinforcement Learning with Factored States and Actions JMLR 2004 Robust Principal Component Analysis with Adaptive Selection for Tuning Parameters JMLR 2004 Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004 Some Dichotomy Theorems for Neural Learning Problems JMLR 2004 Some Properties of Regularized Kernel Methods JMLR 2004 Statistical Analysis of Some Multi-Category Large Margin Classification Methods JMLR 2004 Support Vector Machine Soft Margin Classifiers: Error Analysis JMLR 2004