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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)

Show Your Work: Improved Reporting of Experimental Results EMNLP 2019 ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning Interspeech 2019 signSGD via Zeroth-Order Oracle ICLR 2019 signSGD with Majority Vote is Communication Efficient and Fault Tolerant ICLR 2019 SIMON: A Simple and Scalable Method for Sensing, Inference and Measurement in Data Center Networks NSDI 2019 SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition JMLR 2019 Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization ICML 2019 Simulation-Based Approach to Efficient Commonsense Reasoning in Very Large Knowledge Bases AAAI 2019 Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation MLHC 2019 Simultaneous Prediction Intervals for Patient-Specific Survival Curves IJCAI 2019 Simultaneous Private Learning of Multiple Concepts JMLR 2019 Simultaneous Translation with Flexible Policy via Restricted Imitation Learning ACL 2019 Single-Frame Regularization for Temporally Stable CNNs CVPR 2019 Single Image Deraining: A Comprehensive Benchmark Analysis CVPR 2019 Sinkhorn Barycenters with Free Support via Frank-Wolfe Algorithm NeurIPS 2019 Sketched Iterative Algorithms for Structured Generalized Linear Models IJCAI 2019 Sliced Score Matching: A Scalable Approach to Density and Score Estimation UAI 2019 Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation CVPR 2019 Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions ICML 2019 Sliced Wasserstein Generative Models CVPR 2019 Sliding Window Temporal Graph Coloring AAAI 2019 Slimmable Neural Networks ICLR 2019 Small nonlinearities in activation functions create bad local minima in neural networks ICLR 2019 Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity NeurIPS 2019 Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning ICCV 2019