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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)

Fast Neighborhood Graph Search Using Cartesian Concatenation ICCV 2013 Fast Object Detection with Entropy-Driven Evaluation CVPR 2013 Fast Probabilistic Optimization from Noisy Gradients ICML 2013 Feature Selection in High-Dimensional Classification ICML 2013 Finding Optimal Bayesian Networks Using Precedence Constraints JMLR 2013 Find the Best Path: An Efficient and Accurate Classifier for Image Hierarchies ICCV 2013 Firing rate predictions in optimal balanced networks NeurIPS 2013 First-order Decomposition Trees NeurIPS 2013 Flexible sampling of discrete data correlations without the marginal distributions NeurIPS 2013 From Bandits to Experts: A Tale of Domination and Independence NeurIPS 2013 Fully-Connected CRFs with Non-Parametric Pairwise Potential CVPR 2013 Further Optimal Regret Bounds for Thompson Sampling AISTATS 2013 Gauging Association Patterns of Chromosome Territories via Chromatic Median CVPR 2013 Gaussian Kullback-Leibler Approximate Inference JMLR 2013 Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System RSS 2013 Gaussian Process Conditional Copulas with Applications to Financial Time Series NeurIPS 2013 Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013 General Functional Matrix Factorization Using Gradient Boosting ICML 2013 Generalized Method-of-Moments for Rank Aggregation NeurIPS 2013 Generalized Random Utility Models with Multiple Types NeurIPS 2013 Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation JMLR 2013 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013 Generating Legible Motion RSS 2013 Geometric optimisation on positive definite matrices for elliptically contoured distributions NeurIPS 2013