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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
'20
'25

Papers (including subtopics)

Inner Product Spaces for Bayesian Networks JMLR 2005 Large Margin Methods for Structured and Interdependent Output Variables JMLR 2005 Learning from Examples as an Inverse Problem JMLR 2005 Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005 Learning Multiple Tasks with Kernel Methods JMLR 2005 Learning the Kernel Function via Regularization JMLR 2005 Learning with Decision Lists of Data-Dependent Features JMLR 2005 Local Propagation in Conditional Gaussian Bayesian Networks JMLR 2005 Loopy Belief Propagation: Convergence and Effects of Message Errors JMLR 2005 Managing Diversity in Regression Ensembles JMLR 2005 Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection JMLR 2005 Maximum Margin Algorithms with Boolean Kernels JMLR 2005 Multiclass Boosting for Weak Classifiers JMLR 2005 Multiclass Classification with Multi-Prototype Support Vector Machines JMLR 2005 New Horn Revision Algorithms JMLR 2005 Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005 Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005 Stability of Randomized Learning Algorithms JMLR 2005 Toward Optimal Configuration Space Sampling RSS 2005 Tutorial on Practical Prediction Theory for Classification JMLR 2005 Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions JMLR 2005 Variational Message Passing JMLR 2005 Working Set Selection Using Second Order Information for Training Support Vector Machines JMLR 2005 A Compression Approach to Support Vector Model Selection JMLR 2004 A Geometric Approach to Multi-Criterion Reinforcement Learning JMLR 2004