Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees COLT 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Restricting exchangeable nonparametric distributions NeurIPS 2013 Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization ICML 2013 Revisiting the Nystrom method for improved large-scale machine learning ICML 2013 Riemannian Similarity Learning ICML 2013 Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction ICML 2013 Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences CVPR 2013 Robust Data-Driven Dynamic Programming NeurIPS 2013 Robust Estimation of Nonrigid Transformation for Point Set Registration CVPR 2013 Robust Feature Matching with Alternate Hough and Inverted Hough Transforms CVPR 2013 Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013 Robust Low Rank Kernel Embeddings of Multivariate Distributions NeurIPS 2013 Robust Matrix Factorization with Unknown Noise ICCV 2013 Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NeurIPS 2013 Robust Region Grouping via Internal Patch Statistics CVPR 2013 Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NeurIPS 2013 Robust Sparse Regression under Adversarial Corruption ICML 2013 Robust Spatial Filtering with Beta Divergence NeurIPS 2013 Robust Subspace Clustering via Half-Quadratic Minimization ICCV 2013 Robust Transfer Principal Component Analysis with Rank Constraints NeurIPS 2013 Rolling Shutter Camera Calibration CVPR 2013 Rounding Methods for Discrete Linear Classification ICML 2013 SADA: A General Framework to Support Robust Causation Discovery ICML 2013 Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013