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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
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828
3,646
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2000
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Papers (including subtopics)

Growing a Twig to Accelerate Large Vision-Language Models ICCV 2025 GRPO-Guided Modality Selection Enhanced LoRA-Tuned LLMs for Multimodal Emotion Recognition EMNLP 2025 GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models EMNLP 2025 GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs ICML 2025 G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration ICML 2025 GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning ACL 2025 GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models EMNLP 2025 GT-Mean Loss: A Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement ICCV 2025 Guaranteed Generation from Large Language Models ICLR 2025 Guaranteed Prediction Sets for Functional Surrogate Models UAI 2025 Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery ICML 2025 Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles WACV 2025 GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance ICML 2025 Guided Zeroth-Order Methods for Stochastic Non-convex Problems with Decision-Dependent Distributions ICML 2025 Guideline Compliance in Task-Oriented Dialogue: The Chained Prior Approach NAACL 2025 Guiding LLM-based Smart Contract Generation with Finite State Machine IJCAI 2025 Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold UAI 2025 Gumbel Reranking: Differentiable End-to-End Reranker Optimization ACL 2025 HAF-RM: A Hybrid Alignment Framework for Reward Model Training ACL 2025 HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis ICLR 2025 Hallucination-Aware Prompt Optimization for Text-to-Video Synthesis IJCAI 2025 Hallucination Detection in Structured Query Generation via LLM Self-Debating EMNLP 2025 Hallucination Detox: Sensitivity Dropout (SenD) for Large Language Model Training ACL 2025 HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training ICML 2025 Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025