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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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828
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Papers (including subtopics)

Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning NeurIPS 2020 NITK NLP at FinCausal-2020 Task 1 Using BERT and Linear models. COLING 2020 NLPStatTest: A Toolkit for Comparing NLP System Performance AACL 2020 Noise Accumulation in High Dimensional Classification and Total Signal Index JMLR 2020 Noise-Contrastive Estimation for Multivariate Point Processes NeurIPS 2020 Noise Isn’t Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models COLING 2020 Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization AISTATS 2020 Non-Adversarial Video Synthesis With Learned Priors CVPR 2020 Non-asymptotic Analysis for Nonparametric Testing COLT 2020 Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors NeurIPS 2020 Non-convex Learning via Replica Exchange Stochastic Gradient MCMC ICML 2020 Non-Convex SGD Learns Halfspaces with Adversarial Label Noise NeurIPS 2020 Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model NeurIPS 2020 “None of the Above”: Measure Uncertainty in Dialog Response Retrieval ACL 2020 Non-Euclidean Universal Approximation NeurIPS 2020 Non-exchangeable feature allocation models with sublinear growth of the feature sizes AISTATS 2020 Nonlinear Residual Echo Suppression Using a Recurrent Neural Network Interspeech 2020 Non-monotone DR-submodular Maximization over General Convex Sets IJCAI 2020 Nonmyopic Gaussian Process Optimization with Macro-Actions AISTATS 2020 Non-Parametric Calibration for Classification AISTATS 2020 Nonparametric Object and Parts Modeling With Lie Group Dynamics CVPR 2020 Nonparametric Score Estimators ICML 2020 Nonparametric Sequential Prediction While Deep Learning the Kernel AISTATS 2020 Non-Stationary Delayed Bandits with Intermediate Observations ICML 2020 Non-Stochastic Control with Bandit Feedback NeurIPS 2020