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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)

Generalization Guarantee of SGD for Pairwise Learning NeurIPS 2021 Generalization Guarantees for Neural Architecture Search with Train-Validation Split ICML 2021 Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics EMNLP 2021 Generalization in Portfolio-Based Algorithm Selection AAAI 2021 Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks NeurIPS 2021 Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions JMLR 2021 Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances AAAI 2021 Generalized Comprehensive Motion Theory for High-Order Differential Dynamics RSS 2021 Generalized Doubly Reparameterized Gradient Estimators ICML 2021 Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection CVPR 2021 Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels NeurIPS 2021 Generalized Linear Bandits with Local Differential Privacy NeurIPS 2021 Generalized Shuffled Linear Regression ICCV 2021 Generalized Spatio-Temporal RNN Beamformer for Target Speech Separation Interspeech 2021 Generalizing Complex Hypotheses on Product Distributions: Auctions, Prophet Inequalities, and Pandora’s Problem COLT 2021 General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NeurIPS 2021 Generating Adversarial Disturbances for Controller Verification L4DC 2021 Generating High-Quality Explanations for Navigation in Partially-Revealed Environments NeurIPS 2021 Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning EMNLP 2021 Generative Adversarial Neural Architecture Search IJCAI 2021 Generative Layout Modeling Using Constraint Graphs ICCV 2021 Generative Time-series Modeling with Fourier Flows ICLR 2021 Generic Neural Architecture Search via Regression NeurIPS 2021 Generic Oracles for Structured Prediction ACL 2021 Generic Perceptual Loss for Modeling Structured Output Dependencies CVPR 2021