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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)

Trace Lasso: a trace norm regularization for correlated designs NeurIPS 2011 Training SVMs Without Offset JMLR 2011 Two-Layer Multiple Kernel Learning AISTATS 2011 Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning NeurIPS 2011 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NeurIPS 2011 Union Support Recovery in Multi-task Learning JMLR 2011 Uniqueness of Belief Propagation on Signed Graphs NeurIPS 2011 Universal low-rank matrix recovery from Pauli measurements NeurIPS 2011 Variable Sparsity Kernel Learning JMLR 2011 Variance Penalizing AdaBoost NeurIPS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 Weisfeiler-Lehman Graph Kernels JMLR 2011 A Bayesian Approach to Concept Drift NeurIPS 2010 A Bayesian Framework for Figure-Ground Interpretation NeurIPS 2010 Accounting for network effects in neuronal responses using L1 regularized point process models NeurIPS 2010 A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification JMLR 2010 A Constant-Time Algorithm for Vector Field SLAM using an Exactly Sparse Extended Information Filter RSS 2010 Active Estimation of F-Measures NeurIPS 2010 Active Instance Sampling via Matrix Partition NeurIPS 2010 Active Learning by Querying Informative and Representative Examples NeurIPS 2010 Active Sequential Learning with Tactile Feedback AISTATS 2010 Adaptive Multi-Task Lasso: with Application to eQTL Detection NeurIPS 2010 A Dirty Model for Multi-task Learning NeurIPS 2010 A Family of Penalty Functions for Structured Sparsity NeurIPS 2010