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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
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828
3,646
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2000
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Papers (including subtopics)

Situated Mapping of Sequential Instructions to Actions with Single-step Reward Observation ACL 2018 Size-Independent Sample Complexity of Neural Networks COLT 2018 Size-Noise Tradeoffs in Generative Networks NeurIPS 2018 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging JMLR 2018 Sketching for Kronecker Product Regression and P-splines AISTATS 2018 Skip Connections Eliminate Singularities ICLR 2018 Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks ICLR 2018 SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient NeurIPS 2018 SLAYER: Spike Layer Error Reassignment in Time NeurIPS 2018 Sliced Recurrent Neural Networks COLING 2018 Sliced Wasserstein Distance for Learning Gaussian Mixture Models CVPR 2018 Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD AISTATS 2018 SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions ICML 2018 Small-loss bounds for online learning with partial information COLT 2018 Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels IJCAI 2018 SMASH: One-Shot Model Architecture Search through HyperNetworks ICLR 2018 Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018 Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form COLT 2018 Smoothed analysis of the low-rank approach for smooth semidefinite programs NeurIPS 2018 Smoothed Online Convex Optimization in High Dimensions via Online Balanced Descent COLT 2018 Smooth Loss Functions for Deep Top-k Classification ICLR 2018 Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning CVPR 2018 Smooth Sensitivity Based Approach for Differentially Private PCA ALT 2018 SnailTrail: Generalizing Critical Paths for Online Analysis of Distributed Dataflows NSDI 2018 Snap ML: A Hierarchical Framework for Machine Learning NeurIPS 2018