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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)

Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts NAACL 2025 Dynamic Epistemic Friction in Dialogue CoNLL 2025 Dynamic Evil Score-Guided Decoding: An Efficient Decoding Framework For Red-Team Model ACL 2025 Dynamic Fisher-weighted Model Merging via Bayesian Optimization NAACL 2025 Dynamic Group Normalization: Spatio-Temporal Adaptation to Evolving Data Statistics CVPR 2025 Dynamic Jointly Batch Selection for Data Efficient Machine Translation Fine-Tuning EMNLP 2025 Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining ICLR 2025 Dynamic Low-Rank Sparse Adaptation for Large Language Models ICLR 2025 Dynamic Negative Guidance of Diffusion Models ICLR 2025 Dynamic Parallel Tree Search for Efficient LLM Reasoning ACL 2025 Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration CVPR 2025 Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training RSS 2025 Dynamic Retriever for In-Context Knowledge Editing via Policy Optimization EMNLP 2025 Dynamic Scaling of Unit Tests for Code Reward Modeling ACL 2025 Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness ICLR 2025 Dynamic Uncertainty Estimation for Offline Reinforcement Learning AAAI 2025 Dynamic-Width Speculative Beam Decoding for LLM Inference AAAI 2025 Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee IJCAI 2025 DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution CVPR 2025 Dysca: A Dynamic and Scalable Benchmark for Evaluating Perception Ability of LVLMs ICLR 2025 Dyve: Thinking Fast and Slow for Dynamic Process Verification EMNLP 2025 E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning EMNLP 2025 EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization ICML 2025 Earley-Driven Dynamic Pruning for Efficient Structured Decoding ICML 2025 Early Alignment in Two-Layer Networks Training is a Two-Edged Sword JMLR 2025