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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)

Modeling Dyadic Data with Binary Latent Factors NeurIPS 2006 Modelling transcriptional regulation using Gaussian Processes NeurIPS 2006 Multi-dynamic Bayesian Networks NeurIPS 2006 Multiple Instance Learning for Computer Aided Diagnosis NeurIPS 2006 Multiple timescales and uncertainty in motor adaptation NeurIPS 2006 Multi-Task Feature Learning NeurIPS 2006 New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006 Nonnegative Sparse PCA NeurIPS 2006 Non-rigid point set registration: Coherent Point Drift NeurIPS 2006 No-regret Algorithms for Online Convex Programs NeurIPS 2006 On Comparing the Power of Mobile Robots RSS 2006 Online Classification for Complex Problems Using Simultaneous Projections NeurIPS 2006 On Model Selection Consistency of Lasso JMLR 2006 On Representing and Generating Kernels by Fuzzy Equivalence Relations JMLR 2006 On the Complexity of Learning Lexicographic Strategies JMLR 2006 On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts NeurIPS 2006 On Transductive Regression NeurIPS 2006 Optimal Change-Detection and Spiking Neurons NeurIPS 2006 Optimal Rules for Programmed Stochastic Self-Assembly RSS 2006 Optimal Single-Class Classification Strategies NeurIPS 2006 Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis JMLR 2006 Ordinal Regression by Extended Binary Classification NeurIPS 2006 PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NeurIPS 2006 Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006 Parameter Expanded Variational Bayesian Methods NeurIPS 2006