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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)

A Generic Deformation Model for Dense Non-rigid Surface Registration: A Higher-Order MRF-Based Approach ICCV 2013 A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles CVPR 2013 Aggregating Predictions via Sequential Mini-Trading ACML 2013 A Global Linear Method for Camera Pose Registration ICCV 2013 A Graphical Transformation for Belief Propagation: Maximum Weight Matchings and Odd-Sized Cycles NeurIPS 2013 A Higher-Order CRF Model for Road Network Extraction CVPR 2013 A Kernel Test for Three-Variable Interactions NeurIPS 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 A Last-Step Regression Algorithm for Non-Stationary Online Learning AISTATS 2013 A Latent Source Model for Nonparametric Time Series Classification NeurIPS 2013 A Lazy Man's Approach to Benchmarking: Semisupervised Classifier Evaluation and Recalibration CVPR 2013 Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013 Algorithms and Hardness for Robust Subspace Recovery COLT 2013 Algorithms and Hardness Results for Parallel Large Margin Learning JMLR 2013 Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013 Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting JMLR 2013 Almost Optimal Exploration in Multi-Armed Bandits ICML 2013 A memory frontier for complex synapses NeurIPS 2013 A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments CVPR 2013 An Adaptive Learning Rate for Stochastic Variational Inference ICML 2013 Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs CVPR 2013 Analyzing the Harmonic Structure in Graph-Based Learning NeurIPS 2013 An Approximate, Efficient LP Solver for LP Rounding NeurIPS 2013 A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013