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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)

Lifelong Optimization with Low Regret AISTATS 2019 Lifted Hinge-Loss Markov Random Fields AAAI 2019 Lifted Message Passing for Hybrid Probabilistic Inference IJCAI 2019 Lifted Proximal Operator Machines AAAI 2019 Lifted Weight Learning of Markov Logic Networks Revisited AISTATS 2019 Lifting high-dimensional non-linear models with Gaussian regressors AISTATS 2019 Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus CVPR 2019 Likelihood-Free Overcomplete ICA and Applications In Causal Discovery NeurIPS 2019 Limitations of Lazy Training of Two-layers Neural Network NeurIPS 2019 Limitations of the empirical Fisher approximation for natural gradient descent NeurIPS 2019 Limiting Extrapolation in Linear Approximate Value Iteration NeurIPS 2019 Limit Learning Equivalence Structures ALT 2019 Limits of Private Learning with Access to Public Data NeurIPS 2019 Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity AISTATS 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 Linear Queries Estimation with Local Differential Privacy AISTATS 2019 Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest IJCAI 2019 Lipschitz Adaptivity with Multiple Learning Rates in Online Learning COLT 2019 Lipschitz Generative Adversarial Nets ICML 2019 List-decodable Linear Regression NeurIPS 2019 Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR Interspeech 2019 Listen to the Image CVPR 2019 LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition NeurIPS 2019 l-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement ICCV 2019 Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Gradient Estimators for Reinforcement Learning NeurIPS 2019