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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)

The Mondrian Process NeurIPS 2008 Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective JMLR 2008 Theory of matching pursuit NeurIPS 2008 Tighter Bounds for Structured Estimation NeurIPS 2008 Unifying the Sensory and Motor Components of Sensorimotor Adaptation NeurIPS 2008 Unlabeled data: Now it helps, now it doesn't NeurIPS 2008 Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Using Markov Blankets for Causal Structure Learning JMLR 2008 Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management JMLR 2008 Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 A Bayesian Framework for Cross-Situational Word-Learning NeurIPS 2007 A Bayesian LDA-based model for semi-supervised part-of-speech tagging NeurIPS 2007 A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2007 A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NeurIPS 2007 AdaBoost is Consistent JMLR 2007 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 Adaptive Non-Stationary Kernel Regression for Terrain Modeling RSS 2007 Adaptive Online Gradient Descent NeurIPS 2007 A general agnostic active learning algorithm NeurIPS 2007 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 Agreement-Based Learning NeurIPS 2007 A Kernel Statistical Test of Independence NeurIPS 2007 A learning framework for nearest neighbor search NeurIPS 2007