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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)

DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows CVPR 2025 Diverse Preference Learning for Capabilities and Alignment ICLR 2025 Diverse Rare Sample Generation with Pretrained GANs AAAI 2025 Diversity-Enhanced Distribution Alignment for Dataset Distillation ICCV 2025 Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding ACL 2025 Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents EMNLP 2025 Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG ACL 2025 DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models EMNLP 2025 DLP: Dynamic Layerwise Pruning in Large Language Models ICML 2025 DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective EMNLP 2025 DLRG at BHASHA: Task 1 (IndicGEC): A Hybrid Neurosymbolic Approach for Tamil and Malayalam Grammatical Error Correction AACL 2025 DLTKG: Denoising Logic-based Temporal Knowledge Graph Reasoning EMNLP 2025 DLU: Dictionary Look-Up Data and Prediction CoNLL 2025 DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translation EMNLP 2025 DMPT: Decoupled Modality-Aware Prompt Tuning for Multi-Modal Object Re-Identification WACV 2025 Do Bayesian Neural Networks Actually Behave Like Bayesian Models? ICML 2025 Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? EMNLP 2025 Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives ICLR 2025 DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025 Do Construction Distributions Shape Formal Language Learning In German BabyLMs? CoNLL 2025 Doc-React: Multi-page Heterogeneous Document Question-answering ACL 2025 Do Deep Neural Network Solutions Form a Star Domain? ICLR 2025 DoDS-IITPKD:Submissions to the WMT25 Low-Resource Indic Language Translation Task EMNLP 2025 Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions NAACL 2025 Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI’s Understanding of Algorithms AAAI 2025