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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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'25

Papers (including subtopics)

Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Boosting the Area under the ROC Curve NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Catching Up Faster in Bayesian Model Selection and Model Averaging NeurIPS 2007 Characterizing the Function Space for Bayesian Kernel Models JMLR 2007 Cluster Stability for Finite Samples NeurIPS 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Combining PAC-Bayesian and Generic Chaining Bounds JMLR 2007 Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" JMLR 2007 Competition Adds Complexity NeurIPS 2007 Compressed Regression NeurIPS 2007 Compression-Based Averaging of Selective Naive Bayes Classifiers JMLR 2007 Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NeurIPS 2007 Computing Robust Counter-Strategies NeurIPS 2007 Concave Learners for Rankboost JMLR 2007 Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007 Consistent Minimization of Clustering Objective Functions NeurIPS 2007 Continuous Time Particle Filtering for fMRI NeurIPS 2007 Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons NeurIPS 2007 Convex Clustering with Exemplar-Based Models NeurIPS 2007 Convex Learning with Invariances NeurIPS 2007 Convex Relaxations of Latent Variable Training NeurIPS 2007 Cooled and Relaxed Survey Propagation for MRFs NeurIPS 2007 Covariate Shift Adaptation by Importance Weighted Cross Validation JMLR 2007