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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Parallel Streaming Wasserstein Barycenters NeurIPS 2017 Parameter-Free Online Learning via Model Selection NeurIPS 2017 Parameter identification in Markov chain choice models ALT 2017 Parametric Simplex Method for Sparse Learning NeurIPS 2017 Parametric T-Spline Face Morphable Model for Detailed Fitting in Shape Subspace CVPR 2017 Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery NeurIPS 2017 Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models JMLR 2017 PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference NeurIPS 2017 Passive Realtime Datacenter Fault Detection and Localization NSDI 2017 Performance Bounds for Graphical Record Linkage AISTATS 2017 Personalized Quantification of Voice Attractiveness in Multidimensional Merit Space Interspeech 2017 Personnel Scheduling as Satisfiability Modulo Theories IJCAI 2017 Perturbative Black Box Variational Inference NeurIPS 2017 Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation AISTATS 2017 Phase Transitions in the Pooled Data Problem NeurIPS 2017 Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation CVPR 2017 Pitch Convergence as an Effect of Perceived Attractiveness and Likability Interspeech 2017 Plan, Attend, Generate: Planning for Sequence-to-Sequence Models NeurIPS 2017 Playing Repeated Network Interdiction Games with Semi-Bandit Feedback IJCAI 2017 Poisson Random Fields for Dynamic Feature Models JMLR 2017 PolyNet: A Pursuit of Structural Diversity in Very Deep Networks CVPR 2017 Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication NeurIPS 2017 POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract) IJCAI 2017 Population Matching Discrepancy and Applications in Deep Learning NeurIPS 2017 Posted Pricing sans Discrimination IJCAI 2017