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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)

Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables AISTATS 2013 Structured Learning of Sum-of-Submodular Higher Order Energy Functions ICCV 2013 Structured Learning via Logistic Regression NeurIPS 2013 Structure Learning of Mixed Graphical Models AISTATS 2013 Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion JMLR 2013 Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints NeurIPS 2013 Submodular Salient Region Detection CVPR 2013 Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing ICML 2013 Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables COLT 2013 Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically ICML 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 Super-resolution via Transform-Invariant Group-Sparse Regularization ICCV 2013 Supervised Binary Hash Code Learning with Jensen Shannon Divergence ICCV 2013 Supervised Descent Method and Its Applications to Face Alignment CVPR 2013 Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows JMLR 2013 Supervised Semantic Gradient Extraction Using Linear-Time Optimization CVPR 2013 Supervised Sparse Analysis and Synthesis Operators NeurIPS 2013 Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses COLT 2013 SWIGS: A Swift Guided Sampling Method CVPR 2013 Symbolic Opportunistic Policy Iteration for Factored-Action MDPs NeurIPS 2013 Texture Enhanced Image Denoising via Gradient Histogram Preservation CVPR 2013 That was fast! Speeding up NN search of high dimensional distributions. ICML 2013 The Bigraphical Lasso ICML 2013 The Cross-Entropy Method Optimizes for Quantiles ICML 2013 The Fast Convergence of Incremental PCA NeurIPS 2013