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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)

Sentence-Wise Smooth Regularization for Sequence to Sequence Learning AAAI 2019 Separating Wheat from Chaff: Joining Biomedical Knowledge and Patient Data for Repurposing Medications AAAI 2019 Separator-Based Pruned Dynamic Programming for Steiner Tree AAAI 2019 SepNE: Bringing Separability to Network Embedding AAAI 2019 Sequential change-point detection: Laplace concentration of scan statistics and non-asymptotic delay bounds ALT 2019 Sequential Facility Location: Approximate Submodularity and Greedy Algorithm ICML 2019 Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019 Sequential Neural Networks as Automata ACL 2019 Sequential Neural Processes NeurIPS 2019 Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials AISTATS 2019 Sever: A Robust Meta-Algorithm for Stochastic Optimization ICML 2019 SGD Converges to Global Minimum in Deep Learning via Star-convex Path ICLR 2019 SGD: General Analysis and Improved Rates ICML 2019 SGD on Neural Networks Learns Functions of Increasing Complexity NeurIPS 2019 SGD without Replacement: Sharper Rates for General Smooth Convex Functions ICML 2019 Shadowing Properties of Optimization Algorithms NeurIPS 2019 Shallow-Deep Networks: Understanding and Mitigating Network Overthinking ICML 2019 Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models NeurIPS 2019 Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019 Sharp Analysis for Nonconvex SGD Escaping from Saddle Points COLT 2019 Sharp Analysis of Learning with Discrete Losses AISTATS 2019 Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery JMLR 2019 Sharp Theoretical Analysis for Nonparametric Testing under Random Projection COLT 2019 Shielded Base Contraction (Extended Abstract) IJCAI 2019 Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines NAACL 2019