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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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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation ICML 2021 Meta-learning Hyperparameter Performance Prediction with Neural Processes ICML 2021 Meta Learning in the Continuous Time Limit AISTATS 2021 Meta-Learning of Structured Task Distributions in Humans and Machines ICLR 2021 Meta-Learning Reliable Priors in the Function Space NeurIPS 2021 Meta-learning Symmetries by Reparameterization ICLR 2021 Meta-Learning to Compositionally Generalize ACL 2021 Meta-learning to Improve Pre-training NeurIPS 2021 Meta-learning with an Adaptive Task Scheduler NeurIPS 2021 Meta-learning with negative learning rates ICLR 2021 Meta-Learning with Neural Tangent Kernels ICLR 2021 Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021 Meta-Thompson Sampling ICML 2021 Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models JMLR 2021 Method of Moments for Topic Models with Mixed Discrete and Continuous Features IJCAI 2021 MetricOpt: Learning To Optimize Black-Box Evaluation Metrics CVPR 2021 Metrics and Continuity in Reinforcement Learning AAAI 2021 M-FAC: Efficient Matrix-Free Approximations of Second-Order Information NeurIPS 2021 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021 Mind the Box: l_1-APGD for Sparse Adversarial Attacks on Image Classifiers ICML 2021 Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization NeurIPS 2021 Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding NeurIPS 2021 Minimax Estimation of Laplacian Constrained Precision Matrices AISTATS 2021 Minimax Model Learning AISTATS 2021 Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers NeurIPS 2021