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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)

Improving Generalization Ability of Countermeasures for New Mismatch Scenario by Combining Multiple Advanced Regularization Terms Interspeech 2023 Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation ICCV 2023 Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level CVPR 2023 Improving Generalization With Domain Convex Game CVPR 2023 Improving Gradient Computation for Differentiable Physics Simulation with Contacts L4DC 2023 Improving Gradient Trade-offs between Tasks in Multi-task Text Classification ACL 2023 Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023 Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023 Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints ICML 2023 Improving Label Assignments Learning by Dynamic Sample Dropout Combined with Layer-wise Optimization in Speech Separation Interspeech 2023 Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding IJCAI 2023 Improving Long Context Document-Level Machine Translation ACL 2023 Improving Multi-Fidelity Optimization With a Recurring Learning Rate for Hyperparameter Tuning WACV 2023 Improving multiple-try Metropolis with local balancing JMLR 2023 Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization CVPR 2023 Improving Robustness with Adaptive Weight Decay NeurIPS 2023 Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function MIDL 2023 Improving Summarization with Human Edits EMNLP 2023 Improving the Knowledge Gradient Algorithm NeurIPS 2023 Improving the Model Consistency of Decentralized Federated Learning ICML 2023 Improving the robustness of NLI models with minimax training ACL 2023 Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023 Improving training datasets for resource-constrained speaker recognition neural networks Interspeech 2023 Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis AAAI 2023 Improving WaveRNN with Heuristic Dynamic Blending for Fast and High-Quality GPU Vocoding Interspeech 2023