Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NeurIPS 2010 Evaluating neuronal codes for inference using Fisher information NeurIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Exact inference and learning for cumulative distribution functions on loopy graphs NeurIPS 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Expectation Truncation and the Benefits of Preselection In Training Generative Models JMLR 2010 Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net AISTATS 2010 Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010 Exploiting Within-Clique Factorizations in Junction-Tree Algorithms AISTATS 2010 Extended Bayesian Information Criteria for Gaussian Graphical Models NeurIPS 2010 Extensions of Generalized Binary Search to Group Identification and Exponential Costs NeurIPS 2010 Fast Active-set-type Algorithms for l1-regularized Linear Regression AISTATS 2010 Fast and Scalable Local Kernel Machines JMLR 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010 Fast global convergence rates of gradient methods for high-dimensional statistical recovery NeurIPS 2010 Fast Large-scale Mixture Modeling with Component-specific Data Partitions NeurIPS 2010 Finite-sample Analysis of Bellman Residual Minimization ACML 2010 Focused Belief Propagation for Query-Specific Inference AISTATS 2010 Fractionally Predictive Spiking Neurons NeurIPS 2010 Functional form of motion priors in human motion perception NeurIPS 2010 Gaussian Processes for Machine Learning (GPML) Toolbox JMLR 2010 Gaussian Process Preference Elicitation NeurIPS 2010 Gaussian sampling by local perturbations NeurIPS 2010 Generalized roof duality and bisubmodular functions NeurIPS 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010