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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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2000
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Papers (including subtopics)

NLP at SemEval-2019 Task 6: Detecting Offensive language using Neural Networks SemEval 2019 NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language ACL 2019 Noise-Aware Unsupervised Deep Lidar-Stereo Fusion CVPR 2019 Noise Contrastive Priors for Functional Uncertainty UAI 2019 Noise-Tolerant Paradigm for Training Face Recognition CNNs CVPR 2019 Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach AISTATS 2019 Noisy Dual Principal Component Pursuit ICML 2019 Non-asymptotic Analysis of Biased Stochastic Approximation Scheme COLT 2019 Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization ICML 2019 Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems NeurIPS 2019 Non-Asymptotic Gap-Dependent Regret Bounds for Tabular MDPs NeurIPS 2019 Non-Asymptotic Uniform Rates of Consistency for k-NN Regression AAAI 2019 Non-Autoregressive Machine Translation with Auxiliary Regularization AAAI 2019 Nonconvex Low-Rank Tensor Completion from Noisy Data NeurIPS 2019 Non-Convex Matrix Completion and Related Problems via Strong Duality JMLR 2019 Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019 Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019 Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019 Nonconvex Variance Reduced Optimization with Arbitrary Sampling ICML 2019 Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms AAAI 2019 Nonlinear Acceleration of Primal-Dual Algorithms AISTATS 2019 Nonlinear Distributional Gradient Temporal-Difference Learning ICML 2019 Non-linear process convolutions for multi-output Gaussian processes AISTATS 2019 Nonlinear Stein Variational Gradient Descent for Learning Diversified Mixture Models ICML 2019 Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics NeurIPS 2019