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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
'5
'10
'15
'20
'25

Papers (including subtopics)

Covering Number Bounds of Certain Regularized Linear Function Classes JMLR 2002 Data-dependent margin-based generalization bounds for classification JMLR 2002 Efficient Algorithms for Decision Tree Cross-validation JMLR 2002 Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling JMLR 2002 Kernel Independent Component Analysis JMLR 2002 Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries JMLR 2002 Learning to Construct Fast Signal Processing Implementations JMLR 2002 Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002 Machine Learning with Data Dependent Hypothesis Classes JMLR 2002 Minimal Kernel Classifiers JMLR 2002 On Boosting with Polynomially Bounded Distributions JMLR 2002 On Online Learning of Decision Lists JMLR 2002 On Using Extended Statistical Queries to Avoid Membership Queries JMLR 2002 Optimal Structure Identification With Greedy Search JMLR 2002 PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification JMLR 2002 Policy Search using Paired Comparisons JMLR 2002 Rademacher and Gaussian Complexities: Risk Bounds and Structural Results JMLR 2002 Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels JMLR 2002 Stability and Generalization JMLR 2002 Text Chunking based on a Generalization of Winnow JMLR 2002 The Learning-Curve Sampling Method Applied to Model-Based Clustering JMLR 2002 The Representational Power of Discrete Bayesian Networks JMLR 2002 The Set Covering Machine JMLR 2002 The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces JMLR 2002 Tracking a Small Set of Experts by Mixing Past Posteriors JMLR 2002