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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
'5
'10
'15
'20
'25

Papers (including subtopics)

Stable Dual Dynamic Programming NeurIPS 2007 Stagewise Lasso JMLR 2007 Statistical Analysis of Semi-Supervised Regression NeurIPS 2007 Statistical Consistency of Kernel Canonical Correlation Analysis JMLR 2007 Structured Learning with Approximate Inference NeurIPS 2007 Support Vector Machine Classification with Indefinite Kernels NeurIPS 2007 Temporal Difference Updating without a Learning Rate NeurIPS 2007 Testing for Homogeneity with Kernel Fisher Discriminant Analysis NeurIPS 2007 The Distribution Family of Similarity Distances NeurIPS 2007 The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information NeurIPS 2007 The Generalized FITC Approximation NeurIPS 2007 The Infinite Gamma-Poisson Feature Model NeurIPS 2007 The Infinite Markov Model NeurIPS 2007 The On-Line Shortest Path Problem Under Partial Monitoring JMLR 2007 Theoretical Analysis of Heuristic Search Methods for Online POMDPs NeurIPS 2007 Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NeurIPS 2007 The Price of Bandit Information for Online Optimization NeurIPS 2007 The rat as particle filter NeurIPS 2007 The Tradeoffs of Large Scale Learning NeurIPS 2007 The Value of Labeled and Unlabeled Examples when the Model is Imperfect NeurIPS 2007 Topmoumoute Online Natural Gradient Algorithm NeurIPS 2007 Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NeurIPS 2007 TrueSkill Through Time: Revisiting the History of Chess NeurIPS 2007 Truncating the Loop Series Expansion for Belief Propagation JMLR 2007 Ultrafast Monte Carlo for Statistical Summations NeurIPS 2007