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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)

Towards Sustainable Learning: Coresets for Data-efficient Deep Learning ICML 2023 Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities NeurIPS 2023 Towards Theoretical Understanding of Inverse Reinforcement Learning ICML 2023 Towards Understanding Ensemble Distillation in Federated Learning ICML 2023 Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation ICLR 2023 Towards Understanding Generalization of Graph Neural Networks ICML 2023 Towards Understanding Generalization of Macro-AUC in Multi-label Learning ICML 2023 Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent NeurIPS 2023 Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View ICCV 2023 Towards Viewpoint-Invariant Visual Recognition via Adversarial Training ICCV 2023 Tracking Most Significant Shifts in Nonparametric Contextual Bandits NeurIPS 2023 Tractable and Near-Optimal Adversarial Algorithms for Robust Estimation in Contaminated Gaussian Models JMLR 2023 Trade-off Between Efficiency and Consistency for Removal-based Explanations NeurIPS 2023 Trade-Off Between Robustness and Accuracy of Vision Transformers CVPR 2023 Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts ICML 2023 Trading-off price for data quality to achieve fair online allocation NeurIPS 2023 Trainability, Expressivity and Interpretability in Gated Neural ODEs ICML 2023 Trainability Preserving Neural Pruning ICLR 2023 Trainable Projected Gradient Method for Robust Fine-Tuning CVPR 2023 Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions ICLR 2023 Trained MT Metrics Learn to Cope with Machine-translated References EMNLP 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models NeurIPS 2023 Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies NeurIPS 2023 Training Chain-of-Thought via Latent-Variable Inference NeurIPS 2023 Training Data Extraction From Pre-trained Language Models: A Survey ACL 2023