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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
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'25

Papers (including subtopics)

Unlabeled Compression Schemes for Maximum Classes JMLR 2007 Value Regularization and Fenchel Duality JMLR 2007 Variational Inference for Diffusion Processes NeurIPS 2007 Variational inference for Markov jump processes NeurIPS 2007 VC Theory of Large Margin Multi-Category Classifiers JMLR 2007 Very Fast Online Learning of Highly Non Linear Problems JMLR 2007 What makes some POMDP problems easy to approximate? NeurIPS 2007 A Bayesian Approach to Diffusion Models of Decision-Making and Response Time NeurIPS 2006 A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics RSS 2006 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006 Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006 A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation NeurIPS 2006 A Complexity-Distortion Approach to Joint Pattern Alignment NeurIPS 2006 Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems JMLR 2006 Active learning for misspecified generalized linear models NeurIPS 2006 AdaBoost is Consistent NeurIPS 2006 A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006 Aggregating Classification Accuracy across Time: Application to Single Trial EEG NeurIPS 2006 A Graphical Representation of Equivalence Classes of AMP Chain Graphs JMLR 2006 A Kernel Method for the Two-Sample-Problem NeurIPS 2006 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 A Linear Non-Gaussian Acyclic Model for Causal Discovery JMLR 2006 A Local Learning Approach for Clustering NeurIPS 2006 Analysis of Contour Motions NeurIPS 2006 Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization NeurIPS 2006