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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
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization
Abhishek Roy, Krishnakumar Balasubramanian 외 2명
arXiv (Cornell University)
|
2019
|
6 회 인용
Multi-Receiver Online Bayesian Persuasion
Matteo Castiglioni, Alberto Marchesi 외 2명
arXiv (Cornell University)
|
2021
|
6 회 인용
Multiarmed Bandits With Limited Expert Advice
Satyen Kale
arXiv (Cornell University)
|
2013
|
6 회 인용
Multilevel Monte Carlo for uncertainty quantification in structural engineering
Philippe Blondeel, Pieterjan Robbe 외 3명
arXiv (Cornell University)
|
2018
|
6 회 인용
Multiplayer Bandit Learning, from Competition to Cooperation
Simina Brânzei, Yuval Peres
arXiv (Cornell University)
|
2019
|
6 회 인용
Multiplayer Performative Prediction: Learning in Decision-Dependent Games
Adhyyan Narang, Evan Faulkner 외 3명
arXiv (Cornell University)
|
2022
|
6 회 인용
MVPBT: R package for publication bias tests in meta-analysis of diagnostic accuracy studies
Hisashi Noma
arXiv (Cornell University)
|
2022
|
6 회 인용
MyUnity: Building Awareness and Fostering Community in the Workplace
Jacob T. Biehl, Thea Turner 외 4명
arXiv (Cornell University)
|
2010
|
6 회 인용
Near-optimal Representation Learning for Linear Bandits and Linear RL
Jiachen Hu, Xiaoyu Chen 외 3명
arXiv (Cornell University)
|
2021
|
6 회 인용
Near Optimality in Covering and Packing Games by Exposing Global Information
Maria-Florina Balcan, Sara Krehbiel 외 2명
arXiv (Cornell University)
|
2011
|
6 회 인용
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