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Decision Sciences 论文解读
Decision Sciences 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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5,756 results
Deep Reinforcement Learning of Marked Temporal Point Processes
Utkarsh Upadhyay, Abir De, +1
arXiv (Cornell University)
|
2018
|
34 citations
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach
Shun Liu, Kexin Wu, +3
arXiv (Cornell University)
|
2023
|
34 citations
From Bandits to Experts: A Tale of Domination and Independence
Noga Alon, Nicolò Cesa‐Bianchi, +2
arXiv (Cornell University)
|
2013
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34 citations
From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees
Yifan Dai, Yien Xu, +5
arXiv (Cornell University)
|
2020
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34 citations
Gaussian Process Bandits without Regret: An Experimental Design Approach
Niranjan Srinivas, Andreas Krause, +2
arXiv (Cornell University)
|
2009
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34 citations
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed M. Alaa, Boris van Breugel, +2
arXiv (Cornell University)
|
2021
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34 citations
Is preprint the future of science? A thirty year journey of online preprint services
Boya Xie, Z. Shen, +1
arXiv (Cornell University)
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2021
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34 citations
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition
Chi Jin, Tiancheng Jin, +3
arXiv (Cornell University)
|
2019
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34 citations
Logistic Regression: Tight Bounds for Stochastic and Online Optimization
Elad Hazan, Tomer Koren, +1
arXiv (Cornell University)
|
2014
|
34 citations
(Machine) Learning amplitudes for faster event generation
Fady Bishara, Marc Montull
arXiv (Cornell University)
|
2019
|
34 citations
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