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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget CVPR 2025 StringLLM: Understanding the String Processing Capability of Large Language Models ICLR 2025 Stronger Universal and Transferable Attacks by Suppressing Refusals NAACL 2025 Strong Model Collapse ICLR 2025 Strong Preferences Affect the Robustness of Preference Models and Value Alignment ICLR 2025 Strong Screening Rules for Group-based SLOPE Models AISTATS 2025 Structural-Entropy-Based Sample Selection for Efficient and Effective Learning ICLR 2025 Structural Entropy Guided Probabilistic Coding AAAI 2025 Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation AAAI 2025 Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling EMNLP 2025 Structure-Conditional Minimum Bayes Risk Decoding EMNLP 2025 Structured IB: Improving Information Bottleneck with Structured Feature Learning AAAI 2025 Structured Outputs in Prompt Engineering: Enhancing LLM Adaptability on Counterintuitive Instructions AACL 2025 Structured Policy Optimization: Enhance Large Vision-Language Model via Self-referenced Dialogue ICCV 2025 Structured Preconditioners in Adaptive Optimization: A Unified Analysis ICML 2025 Structured Preference Optimization for Vision-Language Long-Horizon Task Planning EMNLP 2025 Structured Pruning for Diverse Best-of-N Reasoning Optimization ACL 2025 Structure-informed Risk Minimization for Robust Ensemble Learning ICML 2025 Structure Matters: Revisiting Boundary Refinement in Video Object Segmentation ICCV 2025 Structure Trumps Size: Rethinking Data Quality for LLM Reasoning EMNLP 2025 Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency EMNLP 2025 STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning ACL 2025 Style Transfer with Multi-iteration Preference Optimization NAACL 2025 SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data AAAI 2025 Subjectivity in the Annotation of Bridging Anaphora ACL 2025