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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)

A Bahadur Representation of the Linear Support Vector Machine JMLR 2008 Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008 Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NeurIPS 2008 A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NeurIPS 2008 A Convex Upper Bound on the Log-Partition Function for Binary Distributions NeurIPS 2008 Adapting to a Market Shock: Optimal Sequential Market-Making NeurIPS 2008 Adaptive Body Scheme Models for Robust Robotic Manipulation RSS 2008 Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NeurIPS 2008 Adaptive Martingale Boosting NeurIPS 2008 A general framework for investigating how far the decoding process in the brain can be simplified NeurIPS 2008 Aggregation of SVM Classifiers Using Sobolev Spaces JMLR 2008 Algorithms for Infinitely Many-Armed Bandits NeurIPS 2008 Algorithms for Sparse Linear Classifiers in the Massive Data Setting JMLR 2008 A Massively Parallel Digital Learning Processor NeurIPS 2008 Analyzing human feature learning as nonparametric Bayesian inference NeurIPS 2008 An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering NeurIPS 2008 An Error Bound Based on a Worst Likely Assignment JMLR 2008 A New Algorithm for Estimating the Effective Dimension-Reduction Subspace JMLR 2008 An Extended Level Method for Efficient Multiple Kernel Learning NeurIPS 2008 An Homotopy Algorithm for the Lasso with Online Observations NeurIPS 2008 An improved estimator of Variance Explained in the presence of noise NeurIPS 2008 An interior-point stochastic approximation method and an L1-regularized delta rule NeurIPS 2008 An Online Algorithm for Maximizing Submodular Functions NeurIPS 2008 Approximation Schemes for Two-Player Pursuit Evasion Games with Visibility Constraints RSS 2008 A Scalable Hierarchical Distributed Language Model NeurIPS 2008