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Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,756개의 결과
Learning to Route Efficiently with End-to-End Feedback: The Value of Networked Structure
Ruihao Zhu, Eytan Modiano
arXiv (Cornell University)
|
2018
|
3 회 인용
Least worst regret analysis for decision making under uncertainty, with applications to future energy scenarios
Stan Zachary
arXiv (Cornell University)
|
2016
|
3 회 인용
LIDDIA: Language-based Intelligent Drug Discovery Agent
Reza Averly, Frazier N. Baker 외 2명
ArXiv.org
|
2025
|
3 회 인용
Lining up a Positive Semi-Definite Six-Point Bootstrap
António Antunes, Sebastian Harris 외 2명
arXiv (Cornell University)
|
2023
|
3 회 인용
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning
Chi Han, Qizheng He 외 4명
arXiv (Cornell University)
|
2023
|
3 회 인용
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
Bowen Jin, Jinsung Yoon 외 2명
arXiv (Cornell University)
|
2024
|
3 회 인용
Long-term causal effects via behavioral game theory
Panagiotis, Toulis 외 1명
arXiv (Cornell University)
|
2015
|
3 회 인용
Low regret bounds for Bandits with Knapsacks.
Arthur Flajolet, Patrick Jaillet
arXiv (Cornell University)
|
2015
|
3 회 인용
Machine Learning Classification of Price Extrema Based on Market Microstructure Features: A Case Study of S&P500 E-mini Futures.
Artur Sokolovsky, Luca Arnaboldi
arXiv (Cornell University)
|
2020
|
3 회 인용
Machine Learning for Economics Research: When What and How?
Ajit Desai
arXiv (Cornell University)
|
2023
|
3 회 인용
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