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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

Multi-Criteria Dimensionality Reduction with Applications to Fairness NeurIPS 2019 Multi-Element Long Distance Dependencies: Using SPk Languages to Explore the Characteristics of Long-Distance Dependencies ACL 2019 Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion AAAI 2019 Multigoal Committee Selection IJCAI 2019 Multilabel reductions: what is my loss optimising? NeurIPS 2019 Multilingual Factor Analysis ACL 2019 Multi-marginal Wasserstein GAN NeurIPS 2019 Multinomial Distribution Learning for Effective Neural Architecture Search ICCV 2019 Multi-objective Bayesian optimisation with preferences over objectives NeurIPS 2019 Multi-Objective Generalized Linear Bandits IJCAI 2019 Multi-objects Generation with Amortized Structural Regularization NeurIPS 2019 Multi-Observation Regression AISTATS 2019 Multi-Order Information for Working Set Selection of Sequential Minimal Optimization AISTATS 2019 Multi-PLDA Diarization on Children’s Speech Interspeech 2019 Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning IJCAI 2019 Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always ICML 2019 Multi-Population Congestion Games With Incomplete Information IJCAI 2019 Multiscale Gaussian Process Level Set Estimation AISTATS 2019 Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning CVPR 2019 Multi-task Learning for Aggregated Data using Gaussian Processes NeurIPS 2019 Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NeurIPS 2019 Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes NeurIPS 2019 Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019 Multi-view Clustering via Late Fusion Alignment Maximization IJCAI 2019 Multi-View Multi-Label Learning with View-Specific Information Extraction IJCAI 2019