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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)

Mixing Implies Lower Bounds for Space Bounded Learning COLT 2017 MMD GAN: Towards Deeper Understanding of Moment Matching Network NeurIPS 2017 Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study IJCAI 2017 Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit NeurIPS 2017 Model-Based Control Using Koopman Operators RSS 2017 Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning CVPR 2017 Model evidence from nonequilibrium simulations NeurIPS 2017 Modeling Physicians' Utterances to Explore Diagnostic Decision-making IJCAI 2017 Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017 Model-Powered Conditional Independence Test NeurIPS 2017 More Is Less: A More Complicated Network With Less Inference Complexity CVPR 2017 Most Probable Explanations for Probabilistic Database Queries IJCAI 2017 Multi-Class Optimal Margin Distribution Machine ICML 2017 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins IJCAI 2017 Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017 Multi-Information Source Optimization NeurIPS 2017 Multi-Modal Mean-Fields via Cardinality-Based Clamping CVPR 2017 Multi-objective Bandits: Optimizing the Generalized Gini Index ICML 2017 Multi-Objective Non-parametric Sequential Prediction NeurIPS 2017 Multi-Observation Elicitation COLT 2017 Multiple Clustering Views from Multiple Uncertain Experts ICML 2017 Multiple Indefinite Kernel Learning for Feature Selection IJCAI 2017 Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization IJCAI 2017 Multiple People Tracking by Lifted Multicut and Person Re-Identification CVPR 2017 Multiple Sound Source Counting and Localization Based on Spatial Principal Eigenvector Interspeech 2017