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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 Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data NeurIPS 2024 Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions CVPR 2024 Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks NeurIPS 2024 Benchmark Transparency: Measuring the Impact of Data on Evaluation NAACL 2024 Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AISTATS 2024 Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate ICLR 2024 Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data ICLR 2024 Benign Overfitting in Adversarial Training of Neural Networks ICML 2024 Benign overfitting in leaky ReLU networks with moderate input dimension NeurIPS 2024 Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data ICML 2024 BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation CVPR 2024 BERT-IRT: Accelerating Item Piloting with BERT Embeddings and Explainable IRT Models NAACL 2024 Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models ICML 2024 Bespoke Solvers for Generative Flow Models ICLR 2024 Best Arm Identification with Resource Constraints AISTATS 2024 Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO IJCAI 2024 Best-of-Both-Worlds Algorithms for Linear Contextual Bandits AISTATS 2024 Better Alignment with Instruction Back-and-Forth Translation EMNLP 2024 BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices NeurIPS 2024 Better Locally Private Sparse Estimation Given Multiple Samples Per User ICML 2024 Better Neural PDE Solvers Through Data-Free Mesh Movers ICLR 2024 Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective AISTATS 2024 Better-than-KL PAC-Bayes Bounds COLT 2024 Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling AAAI 2024 Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning EMNLP 2024