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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)

Stochastic Mirror Descent in Variationally Coherent Optimization Problems NeurIPS 2017 Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms ICML 2017 Stochastic Online Anomaly Analysis for Streaming Time Series IJCAI 2017 Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure NeurIPS 2017 Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017 Stochastic Rank-1 Bandits AISTATS 2017 Stochastic Recurrent Neural Network for Speech Recognition Interspeech 2017 Stochastic Submodular Maximization: The Case of Coverage Functions NeurIPS 2017 Stochastic Variance Reduction Methods for Policy Evaluation ICML 2017 Storage Fit Learning with Unlabeled Data IJCAI 2017 STORE: Sparse Tensor Response Regression and Neuroimaging Analysis JMLR 2017 Straggler Mitigation in Distributed Optimization Through Data Encoding NeurIPS 2017 Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach NeurIPS 2017 Streaming Sparse Gaussian Process Approximations NeurIPS 2017 Streaming Weak Submodularity: Interpreting Neural Networks on the Fly NeurIPS 2017 Strongly-Typed Agents are Guaranteed to Interact Safely ICML 2017 Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions ICML 2017 Structured adaptive and random spinners for fast machine learning computations AISTATS 2017 Structured-Based Curriculum Learning for End-to-End English-Japanese Speech Translation Interspeech 2017 Structured Best Arm Identification with Fixed Confidence ALT 2017 Structured Learning for Temporal Relation Extraction from Clinical Records EACL 2017 Student-t Process Regression with Student-t Likelihood IJCAI 2017 Subband Selection for Binaural Speech Source Localization Interspeech 2017 Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues NeurIPS 2017 Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017