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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)

Newton-Stein Method: An Optimization Method for GLMs via Stein's Lemma JMLR 2016 Neyman-Pearson Classification under High-Dimensional Settings JMLR 2016 Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling NeurIPS 2016 Noisy Activation Functions ICML 2016 Non-Intrusive Performance Profiling for Entire Software Stacks Based on the Flow Reconstruction Principle OSDI 2016 Non-Iterative Parameter Estimation for Total Variability Model Using Randomized Singular Value Decomposition Interspeech 2016 Non-negative Matrix Factorization under Heavy Noise ICML 2016 Nonparametric Network Models for Link Prediction JMLR 2016 Non-Uniform Boosted MCE Training of Deep Neural Networks for Keyword Spotting Interspeech 2016 No penalty no tears: Least squares in high-dimensional linear models ICML 2016 No-Regret Algorithms for Heavy-Tailed Linear Bandits ICML 2016 No Regret Bound for Extreme Bandits AISTATS 2016 Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks ICML 2016 Normalized Spectral Map Synchronization NeurIPS 2016 NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning AISTATS 2016 Object Tracking via Dual Linear Structured SVM and Explicit Feature Map CVPR 2016 Observational-Interventional Priors for Dose-Response Learning NeurIPS 2016 Occlusion Boundary Detection via Deep Exploration of Context CVPR 2016 On Bayesian Network Inference with Simple Propagation PGM 2016 On Bayes Risk Lower Bounds JMLR 2016 On Benefits of Selection Diversity via Bilevel Exclusive Sparsity CVPR 2016 On collapsed representation of hierarchical Completely Random Measures ICML 2016 On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System AISTATS 2016 One-class classification of point patterns of extremes JMLR 2016 On Graduated Optimization for Stochastic Non-Convex Problems ICML 2016