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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)

A Unifying View of Representer Theorems ICML 2014 Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget ICML 2014 Automated Variational Inference for Gaussian Process Models NeurIPS 2014 Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning NeurIPS 2014 Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Bandit Convex Optimization: Towards Tight Bounds NeurIPS 2014 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Bayesian Active Appearance Models CVPR 2014 Bayesian Entropy Estimation for Countable Discrete Distributions JMLR 2014 Bayesian Estimation of Causal Direction in Acyclic Structural Equation Models with Individual-specific Confounder Variables and Non-Gaussian Distributions JMLR 2014 Bayesian Inference for Structured Spike and Slab Priors NeurIPS 2014 Bayesian Max-margin Multi-Task Learning with Data Augmentation ICML 2014 Bayesian Multi-Scale Optimistic Optimization AISTATS 2014 Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NeurIPS 2014 Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts ICML 2014 Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014 Bayesian Optimization with Inequality Constraints ICML 2014 Bayesian Sampling Using Stochastic Gradient Thermostats NeurIPS 2014 Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014 Bayesian View Synthesis and Image-Based Rendering Principles CVPR 2014 Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval CVPR 2014 BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits JMLR 2014 Bayes-Optimal Scorers for Bipartite Ranking COLT 2014 Belief propagation, robust reconstruction and optimal recovery of block models COLT 2014