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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)

Optimal Black-Box Reductions Between Optimization Objectives NeurIPS 2016 Optimal Classification with Multivariate Losses ICML 2016 Optimal Estimation and Completion of Matrices with Biclustering Structures JMLR 2016 Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016 Optimality of Belief Propagation for Crowdsourced Classification ICML 2016 Optimal Learning for Multi-pass Stochastic Gradient Methods NeurIPS 2016 Optimal Learning Rates for Localized SVMs JMLR 2016 Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables COLT 2016 Optimal rates for total variation denoising COLT 2016 Optimal Relative Pose With Unknown Correspondences CVPR 2016 Optimal Sparse Linear Encoders and Sparse PCA NeurIPS 2016 Optimal spectral transportation with application to music transcription NeurIPS 2016 Optimal Statistical and Computational Rates for One Bit Matrix Completion AISTATS 2016 Optimal Tagging with Markov Chain Optimization NeurIPS 2016 Optimistic Bandit Convex Optimization NeurIPS 2016 Optimistic Gittins Indices NeurIPS 2016 Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016 Optimization of Speech Enhancement Front-End with Speech Recognition-Level Criterion Interspeech 2016 Optimizing affinity-based binary hashing using auxiliary coordinates NeurIPS 2016 Optimizing Speech Recognition Evaluation Using Stratified Sampling Interspeech 2016 Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects AISTATS 2016 Orthogonal Random Features NeurIPS 2016 PAC-Bayesian Bounds based on the Rényi Divergence AISTATS 2016 PAC-Bayesian Theory Meets Bayesian Inference NeurIPS 2016 PAC learning of Probabilistic Automaton based on the Method of Moments ICML 2016