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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)

Bayesian optimization for automated model selection NeurIPS 2016 Bayesian optimization for automated model selection AutoML 2016 Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models JMLR 2016 Bayesian Optimization for Probabilistic Programs NeurIPS 2016 Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian NeurIPS 2016 Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach NeurIPS 2016 Bayesian Optimization with Robust Bayesian Neural Networks NeurIPS 2016 Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations ICML 2016 Bayesian Policy Gradient and Actor-Critic Algorithms JMLR 2016 Bayesian Torrent Classification by File Name and Size Only PGM 2016 Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies AISTATS 2016 benefits of depth in neural networks COLT 2016 Best-of-K-bandits COLT 2016 Bethe Learning of Graphical Models via MAP Decoding AISTATS 2016 Better call Saul: Flexible Programming for Learning and Inference in NLP COLING 2016 Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference ICML 2016 Bi-Objective Online Matching and Submodular Allocations NeurIPS 2016 Bipartite Ranking: a Risk-Theoretic Perspective JMLR 2016 BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits ICML 2016 Black-Box Alpha Divergence Minimization ICML 2016 Black-box Optimization with a Politician ICML 2016 Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning NeurIPS 2016 Blind Attacks on Machine Learners NeurIPS 2016 Blind Image Deconvolution by Automatic Gradient Activation CVPR 2016 Blind Recovery of Perceptual Models in Distributed Speech and Audio Coding Interspeech 2016