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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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Papers (including subtopics)

Structured Variable Selection with Sparsity-Inducing Norms JMLR 2011 Structure Learning for Optimization NeurIPS 2011 Submodular Multi-Label Learning NeurIPS 2011 Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation JMLR 2011 Switch-Reset Models : Exact and Approximate Inference AISTATS 2011 TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NeurIPS 2011 t-divergence Based Approximate Inference NeurIPS 2011 Testing a Bayesian Measure of Representativeness Using a Large Image Database NeurIPS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 The Fast Convergence of Boosting NeurIPS 2011 The Fixed Points of Off-Policy TD NeurIPS 2011 The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers NeurIPS 2011 The Indian Buffet Process: An Introduction and Review JMLR 2011 The Kernel Beta Process NeurIPS 2011 The KL-UCB Algorithm for Bounded Stochastic Bandits and Beyond COLT 2011 The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NeurIPS 2011 The Neural Autoregressive Distribution Estimator AISTATS 2011 Theoretical Analysis of Bayesian Matrix Factorization JMLR 2011 The Rate of Convergence of Adaboost COLT 2011 The Sample Complexity of Dictionary Learning COLT 2011 The Sample Complexity of Dictionary Learning JMLR 2011 The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011 Thinning Measurement Models and Questionnaire Design NeurIPS 2011 Tight conditions for consistent variable selection in high dimensional nonparametric regression COLT 2011 Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm AISTATS 2011