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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)

Benchmarking Distribution Shift in Tabular Data with TableShift NeurIPS 2023 Benchmarking Long-tail Generalization with Likelihood Splits EACL 2023 Benchmarking Low-Shot Robustness to Natural Distribution Shifts ICCV 2023 Benchmarking Rigid Body Contact Models L4DC 2023 Benchmarking Visual Localization for Autonomous Navigation WACV 2023 Benefits of monotonicity in safe exploration with Gaussian processes UAI 2023 Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models ICLR 2023 Benign Overfitting in Deep Neural Networks under Lazy Training ICML 2023 Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization COLT 2023 Benign overfitting in ridge regression JMLR 2023 Benign Overfitting in Two-layer ReLU Convolutional Neural Networks ICML 2023 Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023 Benign overfitting of non-smooth neural networks beyond lazy training AISTATS 2023 Best Arm Identification in Multi-Agent Multi-Armed Bandits ICML 2023 Best arm identification in rare events UAI 2023 Best Arm Identification with Fixed Budget: A Large Deviation Perspective NeurIPS 2023 Best-k Search Algorithm for Neural Text Generation ACL 2023 Best of Both Worlds Policy Optimization ICML 2023 Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm COLT 2023 Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds COLT 2023 BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023 Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information ACML 2023 Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE NSDI 2023 Betty: An Automatic Differentiation Library for Multilevel Optimization ICLR 2023 Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering EMNLP 2023