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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)

Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NeurIPS 2015 Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NeurIPS 2015 Tensor principal component analysis via sum-of-square proofs COLT 2015 Testing Closeness With Unequal Sized Samples NeurIPS 2015 Text Flow: A Unified Text Detection System in Natural Scene Images ICCV 2015 The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015 The Benefits of Learning with Strongly Convex Approximate Inference ICML 2015 The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions NeurIPS 2015 The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels NeurIPS 2015 The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R JMLR 2015 The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling ICML 2015 The Hedge Algorithm on a Continuum ICML 2015 The Human Kernel NeurIPS 2015 The Ladder: A Reliable Leaderboard for Machine Learning Competitions ICML 2015 The Libra Toolkit for Probabilistic Models JMLR 2015 The Likelihood-Ratio Test and Efficient Robust Estimation ICCV 2015 The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical Models AISTATS 2015 The Loss Surfaces of Multilayer Networks AISTATS 2015 The Middle Child Problem: Revisiting Parametric Min-Cut and Seeds for Object Proposals ICCV 2015 Theory of Dual-sparse Regularized Randomized Reduction ICML 2015 The Pareto Regret Frontier for Bandits NeurIPS 2015 The Population Posterior and Bayesian Modeling on Streams NeurIPS 2015 The Power of Randomization: Distributed Submodular Maximization on Massive Datasets ICML 2015 The Sample Complexity of Learning Linear Predictors with the Squared Loss JMLR 2015 Thin Structure Estimation With Curvature Regularization ICCV 2015