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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)

On the relation between universality, characteristic kernels and RKHS embedding of measures AISTATS 2010 On the Theory of Learnining with Privileged Information NeurIPS 2010 Optimal Allocation Strategies for the Dark Pool Problem AISTATS 2010 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010 Optimal learning rates for Kernel Conjugate Gradient regression NeurIPS 2010 Optimal Web-Scale Tiering as a Flow Problem NeurIPS 2010 PAC-Bayesian Model Selection for Reinforcement Learning NeurIPS 2010 Pairwise Measures of Causal Direction in Linear Non-Gaussian Acyclic Models ACML 2010 Parallelizable Sampling of Markov Random Fields AISTATS 2010 Parallelized Stochastic Gradient Descent NeurIPS 2010 Parametric Bandits: The Generalized Linear Case NeurIPS 2010 Parametric Herding AISTATS 2010 Penalized Principal Component Regression on Graphs for Analysis of Subnetworks NeurIPS 2010 Permutation Complexity Bound on Out-Sample Error NeurIPS 2010 Permutation Tests for Studying Classifier Performance JMLR 2010 Policy gradients in linearly-solvable MDPs NeurIPS 2010 Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching AISTATS 2010 Posterior distributions are computable from predictive distributions AISTATS 2010 Practical Approaches to Principal Component Analysis in the Presence of Missing Values JMLR 2010 Practical Large-Scale Optimization for Max-norm Regularization NeurIPS 2010 Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression NeurIPS 2010 Predictive State Temporal Difference Learning NeurIPS 2010 Preliminary Results in Decentralized Estimation for Single-Beacon Acoustic Underwater Navigation RSS 2010 Probabilistic Belief Revision with Structural Constraints NeurIPS 2010 Probabilistic Inference and Differential Privacy NeurIPS 2010