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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)

Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation ICCV 2013 Bayesian learning of joint distributions of objects AISTATS 2013 Bayesian Learning of Recursively Factored Environments ICML 2013 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Bayesian Nonparametric Hidden Semi-Markov Models JMLR 2013 Bayesian optimization explains human active search NeurIPS 2013 Bayesian Robust Matrix Factorization for Image and Video Processing ICCV 2013 Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013 Beating Bandits in Gradually Evolving Worlds COLT 2013 Belief Propagation for Continuous State Spaces: Stochastic Message-Passing with Quantitative Guarantees JMLR 2013 Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NeurIPS 2013 Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution CVPR 2013 Bethe Bounds and Approximating the Global Optimum AISTATS 2013 Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 2013 Better Mixing via Deep Representations ICML 2013 Better Rates for Any Adversarial Deterministic MDP ICML 2013 Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition ICCV 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs CVPR 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Blind Calibration in Compressed Sensing using Message Passing Algorithms NeurIPS 2013 Blind Signal Separation in the Presence of Gaussian Noise COLT 2013 Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013 Block-Coordinate Frank-Wolfe Optimization for Structural SVMs ICML 2013