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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Statistical Dynamics of On-line Independent Component Analysis JMLR 2003
Blind Source Recovery: A Framework in the State Space JMLR 2003
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions JMLR 2003
A Generative Model for Separating Illumination and Reflectance from Images JMLR 2003
Learning Rates for Q-learning JMLR 2003
Machine Learning with Data Dependent Hypothesis Classes JMLR 2002
On Using Extended Statistical Queries to Avoid Membership Queries JMLR 2002
The Learning-Curve Sampling Method Applied to Model-Based Clustering JMLR 2002
Stability and Generalization JMLR 2002
Covering Number Bounds of Certain Regularized Linear Function Classes JMLR 2002
Text Chunking based on a Generalization of Winnow JMLR 2002
Kernel Independent Component Analysis JMLR 2002
Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries JMLR 2002
Data-dependent margin-based generalization bounds for classification JMLR 2002
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components JMLR 2002
Algorithmic Luckiness JMLR 2002
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification JMLR 2002
On Online Learning of Decision Lists JMLR 2002
Minimal Kernel Classifiers 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
Using Confidence Bounds for Exploitation-Exploration Trade-offs JMLR 2002
Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results JMLR 2002
On Boosting with Polynomially Bounded Distributions JMLR 2002