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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)

Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013 Boosting with the Logistic Loss is Consistent COLT 2013 Boundary Detection Benchmarking: Beyond F-Measures CVPR 2013 Bounded Labeling Function for Global Segmentation of Multi-part Objects with Geometric Constraints ICCV 2013 Bounded regret in stochastic multi-armed bandits COLT 2013 Breaking the Small Cluster Barrier of Graph Clustering ICML 2013 B-test: A Non-parametric, Low Variance Kernel Two-sample Test NeurIPS 2013 BudgetedSVM: A Toolbox for Scalable SVM Approximations JMLR 2013 Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis CVPR 2013 Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras? CVPR 2013 Capacity of strong attractor patterns to model behavioural and cognitive prototypes NeurIPS 2013 Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition CVPR 2013 Central Limit Theorems for Conditional Markov Chains AISTATS 2013 Changepoint Detection over Graphs with the Spectral Scan Statistic AISTATS 2013 Characterizing the Representer Theorem ICML 2013 CLAM: Coupled Localization and Mapping with Efficient Outlier Handling CVPR 2013 Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013 Classifier Selection using the Predicate Depth JMLR 2013 Cloud Motion as a Calibration Cue CVPR 2013 Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty JMLR 2013 Clustering Oligarchies AISTATS 2013 Cluster Trees on Manifolds NeurIPS 2013 Collaborative hyperparameter tuning ICML 2013 Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013 Collective Stability in Structured Prediction: Generalization from One Example ICML 2013