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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
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
Hao Xue, Flora D. Salim
arXiv (Cornell University)
|
2022
|
11 회 인용
Properties of Soft Semi-open and Soft semi-closed Sets
Sabir Hussain
arXiv (Cornell University)
|
2014
|
11 회 인용
Proximal Online Gradient is Optimum for Dynamic Regret
Yawei Zhao, Shuang Qiu 외 1명
arXiv (Cornell University)
|
2018
|
11 회 인용
Pure Exploration of Multi-armed Bandit Under Matroid Constraints
Lijie Chen, Anupam Gupta 외 1명
arXiv (Cornell University)
|
2016
|
11 회 인용
Randomized Exploration in Generalized Linear Bandits
Branislav Kveton, Manzil Zaheer 외 4명
arXiv (Cornell University)
|
2019
|
11 회 인용
Randomized Methods for Design of Uncertain Systems: Sample Complexity and Sequential Algorithms
Teodoro Álamo, Roberto Tempo 외 2명
arXiv (Cornell University)
|
2013
|
11 회 인용
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior
William Hoiles, Vikram Krishnamurthy 외 1명
arXiv (Cornell University)
|
2019
|
11 회 인용
Regime Switching Bandits
Xiang Zhou, Yi Xiong 외 2명
arXiv (Cornell University)
|
2020
|
11 회 인용
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems
Young Hun Jung, Ambuj Tewari
arXiv (Cornell University)
|
2019
|
11 회 인용
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
Siwei Wang, Longbo Huang 외 1명
arXiv (Cornell University)
|
2020
|
11 회 인용
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