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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)

Machine Learning in an Auction Environment JMLR 2016 Majorisation-Minimisation Based Optimisation of the Composite Autoregressive System with Application to Glottal Inverse Filtering Interspeech 2016 Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks PGM 2016 Mapping Estimation for Discrete Optimal Transport NeurIPS 2016 Markov-modulated Marked Poisson Processes for Check-in Data ICML 2016 Matrix Completion has No Spurious Local Minimum NeurIPS 2016 Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization ICML 2016 Maximal Sparsity with Deep Networks? NeurIPS 2016 Maximin Action Identification: A New Bandit Framework for Games COLT 2016 Maximization of Approximately Submodular Functions NeurIPS 2016 Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NeurIPS 2016 Maximum a posteriori Based Decoding for CTC Acoustic Models Interspeech 2016 Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016 MCMC Shape Sampling for Image Segmentation With Nonparametric Shape Priors CVPR 2016 Measuring Dependence Powerfully and Equitably JMLR 2016 Measuring Neural Net Robustness with Constraints NeurIPS 2016 Measuring the Information Content of Financial News COLING 2016 Measuring the reliability of MCMC inference with bidirectional Monte Carlo NeurIPS 2016 Memory, Communication, and Statistical Queries COLT 2016 Memory-Efficient Backpropagation Through Time NeurIPS 2016 Memory Efficient Max Flow for Multi-Label Submodular MRFs CVPR 2016 Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning ICML 2016 MetaGrad: Multiple Learning Rates in Online Learning NeurIPS 2016 Metric Learning as Convex Combinations of Local Models With Generalization Guarantees CVPR 2016 Microscopic Multilingual Matrix Test Predictions Using an ASR-Based Speech Recognition Model Interspeech 2016