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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)

Particle Filtering for Nonparametric Bayesian Matrix Factorization NeurIPS 2006 Pattern Recognition for Conditionally Independent Data JMLR 2006 PG-means: learning the number of clusters in data NeurIPS 2006 Prediction on a Graph with a Perceptron NeurIPS 2006 QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006 Qualitative Hybrid Control of Dynamic Bipedal Walking RSS 2006 Quantile Regression Forests JMLR 2006 Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension NeurIPS 2006 Real-time adaptive information-theoretic optimization of neurophysiology experiments NeurIPS 2006 Sample Complexity of Policy Search with Known Dynamics NeurIPS 2006 Segmental Hidden Markov Models with Random Effects for Waveform Modeling JMLR 2006 Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NeurIPS 2006 Similarity by Composition NeurIPS 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006 Some Discriminant-Based PAC Algorithms JMLR 2006 Some Theory for Generalized Boosting Algorithms JMLR 2006 Sparse Boosting JMLR 2006 Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NeurIPS 2006 Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NeurIPS 2006 Sparse Representation for Signal Classification NeurIPS 2006 Stability of K-Means Clustering NeurIPS 2006 Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006 Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006 Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006 Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation JMLR 2006