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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)

No Unbiased Estimator of the Variance of K-Fold Cross-Validation JMLR 2004
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004
Knowledge-Based Kernel Approximation JMLR 2004
Support Vector Machine Soft Margin Classifiers: Error Analysis JMLR 2004
Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004
Statistical Analysis of Some Multi-Category Large Margin Classification Methods JMLR 2004
The Minimum Error Minimax Probability Machine JMLR 2004
Large-Sample Learning of Bayesian Networks is NP-Hard JMLR 2004
Some Properties of Regularized Kernel Methods JMLR 2004
The Entire Regularization Path for the Support Vector Machine JMLR 2004
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004
Ultraconservative Online Algorithms for Multiclass Problems JMLR 2003
Latent Dirichlet Allocation JMLR 2003
A Family of Additive Online Algorithms for Category Ranking JMLR 2003
An Introduction to Variable and Feature Selection JMLR 2003
Extensions to Metric-Based Model Selection JMLR 2003
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003
Variable Selection Using SVM-based Criteria JMLR 2003
Overfitting in Making Comparisons Between Variable Selection Methods JMLR 2003
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling JMLR 2003
Ranking a Random Feature for Variable and Feature Selection JMLR 2003
Feature Extraction by Non-Parametric Mutual Information Maximization JMLR 2003
Use of the Zero-Norm with Linear Models and Kernel Methods JMLR 2003
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples JMLR 2003
The em Algorithm for Kernel Matrix Completion with Auxiliary Data JMLR 2003