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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)

Statistical test for consistent estimation of causal effects in linear non-Gaussian models AISTATS 2012 Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012 Stochastic Bandit Based on Empirical Moments AISTATS 2012 Stochastic Gradient Descent with Only One Projection NeurIPS 2012 Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NeurIPS 2012 Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making NeurIPS 2012 Structured Learning of Gaussian Graphical Models NeurIPS 2012 Structured Output Learning with High Order Loss Functions AISTATS 2012 Structured Sparsity and Generalization JMLR 2012 Structured Sparsity via Alternating Direction Methods JMLR 2012 Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses NeurIPS 2012 Submodular-Bregman and the Lovász-Bregman Divergences with Applications NeurIPS 2012 Subset Infinite Relational Models AISTATS 2012 Supervised Dimension Reduction with Topic Models ACML 2012 Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NeurIPS 2012 Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs NeurIPS 2012 Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012 The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012 The Best of Both Worlds: Stochastic and Adversarial Bandits COLT 2012 The Bethe Partition Function of Log-supermodular Graphical Models NeurIPS 2012 The Coloured Noise Expansion and Parameter Estimation of Diffusion Processes NeurIPS 2012 The Optimality of Jeffreys Prior for Online Density Estimation and the Asymptotic Normality of Maximum Likelihood Estimators COLT 2012 The Perturbed Variation NeurIPS 2012 The representer theorem for Hilbert spaces: a necessary and sufficient condition NeurIPS 2012 There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems AISTATS 2012