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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)

A Generalization Error for Q-Learning JMLR 2005 Algorithmic Stability and Meta-Learning JMLR 2005 A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs JMLR 2005 Analysis of Variance of Cross-Validation Estimators of the Generalization Error JMLR 2005 Assessing Approximate Inference for Binary Gaussian Process Classification JMLR 2005 Asymptotic Model Selection for Naive Bayesian Networks JMLR 2005 Asymptotics in Empirical Risk Minimization JMLR 2005 Clustering with Bregman Divergences JMLR 2005 Concentration Bounds for Unigram Language Models JMLR 2005 Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005 Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005 Denoising Source Separation JMLR 2005 Diffusion Kernels on Statistical Manifolds JMLR 2005 Discriminative Training of Kalman Filters RSS 2005 Dynamic Maps for Long-Term Operation of Mobile Service Robots RSS 2005 Efficient Margin Maximizing with Boosting JMLR 2005 Estimating Functions for Blind Separation When Sources Have Variance Dependencies JMLR 2005 Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005 Expectation Consistent Approximate Inference JMLR 2005 Fast Kernel Classifiers with Online and Active Learning JMLR 2005 Feature Selection for Unsupervised and Supervised Inference: The Emergence of Sparsity in a Weight-Based Approach JMLR 2005 Frames, Reproducing Kernels, Regularization and Learning JMLR 2005 Gaussian Processes for Ordinal Regression JMLR 2005 Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes JMLR 2005 Generalization Bounds for the Area Under the ROC Curve JMLR 2005