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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)

Designing Network Design Spaces CVPR 2020 DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths ICML 2020 Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification Interspeech 2020 Detecting Extrapolation with Local Ensembles ICLR 2020 Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation EMNLP 2020 Detecting Out-of-Distribution Examples with Gram Matrices ICML 2020 Determinant Regularization for Gradient-Efficient Graph Matching CVPR 2020 Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time NeurIPS 2020 Dialogue Response Ranking Training with Large-Scale Human Feedback Data EMNLP 2020 Dice Loss for Data-imbalanced NLP Tasks ACL 2020 Differentiable Adaptive Computation Time for Visual Reasoning CVPR 2020 Differentiable Algorithm for Marginalising Changepoints AAAI 2020 Differentiable Causal Discovery from Interventional Data NeurIPS 2020 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NeurIPS 2020 Differentiable Grammars for Videos AAAI 2020 Differentiable Likelihoods for Fast Inversion of ’Likelihood-Free’ Dynamical Systems ICML 2020 Differentiable Logic Layer for Rule Guided Trajectory Prediction CoRL 2020 Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement NeurIPS 2020 Differentiable TAN Structure Learning for Bayesian Network Classifiers PGM 2020 Differentiable Top-k with Optimal Transport NeurIPS 2020 Differentiable Window for Dynamic Local Attention ACL 2020 Differentially Private Clustering: Tight Approximation Ratios NeurIPS 2020 Differentially Private Learning with Small Public Data AAAI 2020 Differentially Private Survival Function Estimation MLHC 2020 Differentiating through the Fréchet Mean ICML 2020