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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
Deep Reinforcement Learning of Marked Temporal Point Processes
Utkarsh Upadhyay, Abir De 외 1명
arXiv (Cornell University)
|
2018
|
34 회 인용
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach
Shun Liu, Kexin Wu 외 3명
arXiv (Cornell University)
|
2023
|
34 회 인용
From Bandits to Experts: A Tale of Domination and Independence
Noga Alon, Nicolò Cesa‐Bianchi 외 2명
arXiv (Cornell University)
|
2013
|
34 회 인용
From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees
Yifan Dai, Yien Xu 외 5명
arXiv (Cornell University)
|
2020
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34 회 인용
Gaussian Process Bandits without Regret: An Experimental Design Approach
Niranjan Srinivas, Andreas Krause 외 2명
arXiv (Cornell University)
|
2009
|
34 회 인용
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed M. Alaa, Boris van Breugel 외 2명
arXiv (Cornell University)
|
2021
|
34 회 인용
Is preprint the future of science? A thirty year journey of online preprint services
Boya Xie, Z. Shen 외 1명
arXiv (Cornell University)
|
2021
|
34 회 인용
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition
Chi Jin, Tiancheng Jin 외 3명
arXiv (Cornell University)
|
2019
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34 회 인용
Logistic Regression: Tight Bounds for Stochastic and Online Optimization
Elad Hazan, Tomer Koren 외 1명
arXiv (Cornell University)
|
2014
|
34 회 인용
(Machine) Learning amplitudes for faster event generation
Fady Bishara, Marc Montull
arXiv (Cornell University)
|
2019
|
34 회 인용
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