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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)

A comparison of statistical association measures for identifying dependency-based collocations in various languages. ACL 2019 A Composite Randomized Incremental Gradient Method ICML 2019 A Condition Number for Joint Optimization of Cycle-Consistent Networks NeurIPS 2019 A Continuous-Time View of Early Stopping for Least Squares Regression AISTATS 2019 A Contrastive Divergence for Combining Variational Inference and MCMC ICML 2019 A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification IJCAI 2019 A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks ICLR 2019 A Convergence Theory for Deep Learning via Over-Parameterization ICML 2019 A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks NeurIPS 2019 A Convex Relaxation for Multi-Graph Matching CVPR 2019 Acoustic Non-Line-Of-Sight Imaging CVPR 2019 Active Change-Point Detection ACML 2019 Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019 Active Multi-Information Source Bayesian Quadrature UAI 2019 Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization AISTATS 2019 Active Ranking with Subset-wise Preferences AISTATS 2019 AdaGrad Stepsizes: Sharp Convergence Over Nonconvex Landscapes ICML 2019 AdaLinUCB: Opportunistic Learning for Contextual Bandits IJCAI 2019 AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing ACL 2019 Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks ICCV 2019 Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces ICML 2019 Adaptive Antithetic Sampling for Variance Reduction ICML 2019 Adaptive Estimators Show Information Compression in Deep Neural Networks ICLR 2019 Adaptive Exact Learning of Decision Trees from Membership Queries ALT 2019 Adaptive Gaussian Copula ABC AISTATS 2019