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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
Online Learning via Differential Privacy.
Jacob Abernethy, Chansoo Lee 외 2명
arXiv (Cornell University)
|
2017
|
7 회 인용
Online Learning with Continuous Variations: Dynamic Regret and Reductions
Ching-An Cheng, Jonathan Lee 외 2명
arXiv (Cornell University)
|
2019
|
7 회 인용
Online Learning with Feedback Graphs Without the Graphs
Alon Cohen, Tamir Hazan 외 1명
ArXiv.org
|
2016
|
7 회 인용
Online Non-Convex Learning: Following the Perturbed Leader is Optimal
Arun Sai Suggala, Praneeth Netrapalli
arXiv (Cornell University)
|
2019
|
7 회 인용
Online Reinforcement Learning in Stochastic Games
Chen-Yu Wei, Yi-Te Hong 외 1명
arXiv (Cornell University)
|
2017
|
7 회 인용
Online Semi-Supervised Learning with Bandit Feedback
Sohini Upadhyay, Mikhail Yurochkin 외 3명
arXiv (Cornell University)
|
2020
|
7 회 인용
Open data, open review and open dialogue in making social sciences plausible
Quan‐Hoang Vuong
arXiv (Cornell University)
|
2017
|
7 회 인용
Operationally-Motivated Uncertainty Relations for Joint Measurability and the Error-Disturbance Tradeoff
Joseph M. Renes, Volkher B. Scholz
arXiv (Cornell University)
|
2014
|
7 회 인용
Optimal Best-Arm Identification Methods for Tail-Risk Measures
Shubhada Agrawal, Wouter M. Koolen 외 1명
arXiv (Cornell University)
|
2020
|
7 회 인용
Optimal Designs for 2^k Factorial Experiments with Binary Response
Jie Yang, Abhyuday Mandal 외 1명
arXiv (Cornell University)
|
2011
|
7 회 인용
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