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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)

Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025 Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models AAAI 2025 Data Generation for Hardware-Friendly Post-Training Quantization WACV 2025 Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA SemEval 2025 DataMan: Data Manager for Pre-training Large Language Models ICLR 2025 Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models ICML 2025 Data Pruning by Information Maximization ICLR 2025 Data-scarce Behavior Editing of Language Models EMNLP 2025 Data Selection for ERMs COLT 2025 Data Selection via Optimal Control for Language Models ICLR 2025 Dataset Distillation as Data Compression: A Rate-Utility Perspective ICCV 2025 Dataset Distillation via the Wasserstein Metric ICCV 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025 Data Shapley in One Training Run ICLR 2025 Data Unlearning in Diffusion Models ICLR 2025 Data with High and Consistent Preference Difference Are Better for Reward Model AAAI 2025 Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning EMNLP 2025 DateLogicQA: Benchmarking Temporal Biases in Large Language Models NAACL 2025 D-Attn: Decomposed Attention for Large Vision-and-Language Model ICCV 2025 David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training ICML 2025 DCC: Differentiable Cardinality Constraints for Partial Index Tracking AAAI 2025 DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion CVPR 2025 DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025 DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search EMNLP 2025 DCRM: A Heuristic to Measure Response Pair Quality in Preference Optimization EMNLP 2025