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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)

Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent NeurIPS 2015 Sparse PCA via Bipartite Matchings NeurIPS 2015 Sparse Projections for High-Dimensional Binary Codes CVPR 2015 Sparse Submodular Probabilistic PCA AISTATS 2015 Sparse Variational Inference for Generalized GP Models ICML 2015 Sparsistency of \ell_1-Regularized M-Estimators AISTATS 2015 Spatial Semantic Regularisation for Large Scale Object Detection ICCV 2015 Spectral Learning of Large Structured HMMs for Comparative Epigenomics NeurIPS 2015 Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons ICML 2015 Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NeurIPS 2015 Spherical Random Features for Polynomial Kernels NeurIPS 2015 SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs ICCV 2015 State Space Methods for Efficient Inference in Student-t Process Regression AISTATS 2015 Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling JMLR 2015 Statistical Inference Models for Image Datasets With Systematic Variations CVPR 2015 Statistical Model Criticism using Kernel Two Sample Tests NeurIPS 2015 Stochastic Block Model and Community Detection in Sparse Graphs: A spectral algorithm with optimal rate of recovery COLT 2015 Stochastic Block Transition Models for Dynamic Networks AISTATS 2015 Stochastic Dual Coordinate Ascent with Adaptive Probabilities ICML 2015 Stochastic Expectation Propagation NeurIPS 2015 Stochastic Online Greedy Learning with Semi-bandit Feedbacks NeurIPS 2015 Stochastic Optimization with Importance Sampling for Regularized Loss Minimization ICML 2015 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization ICML 2015 Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015 Stochastic Structured Variational Inference AISTATS 2015