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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
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
Wei Tao, Yucheng Zhou 외 4명
arXiv (Cornell University)
|
2024
|
8 회 인용
Making Non-Stochastic Control (Almost) as Easy as Stochastic
Max Simchowitz
arXiv (Cornell University)
|
2020
|
8 회 인용
Measuring impact in research evaluations: A thorough discussion of methods for, effects of, and problems with impact measurements
Lutz Bornmann
arXiv (Cornell University)
|
2014
|
8 회 인용
Mechanism Design for Multi-Type Housing Markets
Sibel Adalı, Sujoy Sikdar 외 1명
arXiv (Cornell University)
|
2016
|
8 회 인용
Meta Dynamic Pricing: Learning Across Experiments
Hamsa Bastani, David Simchi‐Levi 외 1명
arXiv (Cornell University)
|
2019
|
8 회 인용
Mimir: Bringing CTables into Practice
Arindam Nandi, Ying Yang 외 5명
arXiv (Cornell University)
|
2016
|
8 회 인용
Mirror Descent and the Information Ratio
Tor Lattimore, András György
arXiv (Cornell University)
|
2020
|
8 회 인용
Model-Driven Analytics: Connecting Data, Domain Knowledge, and Learning
Thomas Hartmann, Assaad Moawad 외 5명
arXiv (Cornell University)
|
2017
|
8 회 인용
Model-free bounds on Value-at-Risk using partial dependence information
Thibaut Lux, Antonis Papapantoleon
arXiv (Cornell University)
|
2016
|
8 회 인용
Modeling Financial Time Series using LSTM with Trainable Initial Hidden States
Jungsik Hwang
arXiv (Cornell University)
|
2020
|
8 회 인용
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