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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)

Optimality of Poisson Processes Intensity Learning with Gaussian Processes JMLR 2015 Optimal Linear Estimation under Unknown Nonlinear Transform NeurIPS 2015 Optimally Combining Classifiers Using Unlabeled Data COLT 2015 Optimal Rates for Random Fourier Features NeurIPS 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays ICML 2015 Optimal Ridge Detection using Coverage Risk NeurIPS 2015 Optimal Robust Control for Bipedal Robots through Control Lyapunov Function based Quadratic Programs RSS 2015 Optimal Testing for Properties of Distributions NeurIPS 2015 Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference NeurIPS 2015 Optimizing Expected Intersection-Over-Union With Candidate-Constrained CRFs ICCV 2015 Optimizing Neural Networks with Kronecker-factored Approximate Curvature ICML 2015 Optimizing Non-decomposable Performance Measures: A Tale of Two Classes ICML 2015 Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models ICML 2015 Orthogonal NMF through Subspace Exploration NeurIPS 2015 Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs ICML 2015 Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015 Parallelizing MCMC with Random Partition Trees NeurIPS 2015 Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NeurIPS 2015 Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015 Parsimonious Labeling ICCV 2015 Particle Gibbs for Bayesian Additive Regression Trees AISTATS 2015 Particle Gibbs for Infinite Hidden Markov Models NeurIPS 2015 Particle Gibbs with Ancestor Sampling for Probabilistic Programs AISTATS 2015 PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent ICML 2015 Path-SGD: Path-Normalized Optimization in Deep Neural Networks NeurIPS 2015