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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)

Sample-Specific Late Fusion for Visual Category Recognition CVPR 2013 Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner ICML 2013 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Scalable Influence Estimation in Continuous-Time Diffusion Networks NeurIPS 2013 Scalable kernels for graphs with continuous attributes NeurIPS 2013 Scalable Optimization of Neighbor Embedding for Visualization ICML 2013 Scaling Multidimensional Gaussian Processes using Projected Additive Approximations ICML 2013 Scaling the Indian Buffet Process via Submodular Maximization ICML 2013 Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images CVPR 2013 Scene Parsing by Integrating Function, Geometry and Appearance Models CVPR 2013 Scoring anomalies: a M-estimation formulation AISTATS 2013 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Second Order Online Collaborative Filtering ACML 2013 Segregating Event Streams and Noise with a Markov Renewal Process Model JMLR 2013 Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data IJCAI 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 Separable Dictionary Learning CVPR 2013 Separating Signal from Noise Using Patch Recurrence across Scales CVPR 2013 Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling ICCV 2013 Sequential Bayesian Search ICML 2013 Shape from Silhouette Probability Maps: Reconstruction of Thin Objects in the Presence of Silhouette Extraction and Calibration Error CVPR 2013 Sharp analysis of low-rank kernel matrix approximations COLT 2013 Sharp Generalization Error Bounds for Randomly-projected Classifiers ICML 2013 Sign Cauchy Projections and Chi-Square Kernel NeurIPS 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NeurIPS 2013