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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)

Max-Margin Ratio Machine ACML 2012 MCMC for continuous-time discrete-state systems NeurIPS 2012 MedLDA: Maximum Margin Supervised Topic Models JMLR 2012 Memory-efficient inference in dynamic graphical models using multiple cores AISTATS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Minimax hypothesis testing for curve registration AISTATS 2012 Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NeurIPS 2012 Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming JMLR 2012 Minimax rates for homology inference AISTATS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Minimizing Sparse High-Order Energies by Submodular Vertex-Cover NeurIPS 2012 Minimizing Uncertainty in Pipelines NeurIPS 2012 Mirror Descent Meets Fixed Share (and feels no regret) NeurIPS 2012 Mixability in Statistical Learning NeurIPS 2012 Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012 Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NeurIPS 2012 Modeling and Prediction of Pedestrian Behavior based on the Sub-goal Concept RSS 2012 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 Multi-armed Bandit Problems with History AISTATS 2012 Multiclass Learning Approaches: A Theoretical Comparison with Implications NeurIPS 2012 Multiclass Learning with Simplex Coding NeurIPS 2012 Multi-Instance Learning with Any Hypothesis Class JMLR 2012 Multi Kernel Learning with Online-Batch Optimization JMLR 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012