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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
'15
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'25

Papers (including subtopics)

The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004 The Entire Regularization Path for the Support Vector Machine JMLR 2004 The Minimum Error Minimax Probability Machine JMLR 2004 The Sample Complexity of Exploration in the Multi-Armed Bandit Problem JMLR 2004 A Family of Additive Online Algorithms for Category Ranking JMLR 2003 A Generative Model for Separating Illumination and Reflectance from Images JMLR 2003 A Maximum Likelihood Approach to Single-channel Source Separation JMLR 2003 An Approximate Analytical Approach to Resampling Averages JMLR 2003 An Efficient Boosting Algorithm for Combining Preferences JMLR 2003 An Introduction to Variable and Feature Selection JMLR 2003 A Unified Framework for Model-based Clustering JMLR 2003 Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation JMLR 2003 Blind Source Recovery: A Framework in the State Space JMLR 2003 Combining Knowledge from Different Sources in Causal Probabilistic Models JMLR 2003 Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored JMLR 2003 Concentration Inequalities for the Missing Mass and for Histogram Rule Error JMLR 2003 Extensions to Metric-Based Model Selection JMLR 2003 Feature Extraction by Non-Parametric Mutual Information Maximization JMLR 2003 FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples JMLR 2003 Generalization Error Bounds for Bayesian Mixture Algorithms JMLR 2003 Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003 Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity JMLR 2003 Latent Dirichlet Allocation JMLR 2003 Learning Probabilistic Models: An Expected Utility Maximization Approach JMLR 2003 Learning Rates for Q-learning JMLR 2003