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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
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits
Branislav Kveton, Csaba Szepesvári 외 4명
arXiv (Cornell University)
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2018
|
13 회 인용
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
Vasilis Syrgkanis, Haipeng Luo 외 2명
arXiv (Cornell University)
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2016
|
13 회 인용
Information Theoretic Regret Bounds for Online Nonlinear Control.
Sham M. Kakade, Akshay Krishnamurthy 외 3명
arXiv (Cornell University)
|
2020
|
13 회 인용
Introducing a hybrid model of DEA and data mining in evaluating efficiency. Case study: Bank Branches
Sara Hosseinzadeh Kassani, Peyman Hosseinzadeh Kassani 외 1명
arXiv (Cornell University)
|
2018
|
13 회 인용
LADDER: A Human-Level Bidding Agent for Large-Scale Real-Time Online Auctions
Yu Wang, Jiayi Liu 외 6명
arXiv (Cornell University)
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2017
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13 회 인용
Learning multivariate functions with low-dimensional structures using polynomial bases
Daniel Potts, Michael Schmischke
arXiv (Cornell University)
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2019
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13 회 인용
Locally Differentially Private (Contextual) Bandits Learning
Kai Zheng, Tianle Cai 외 3명
arXiv (Cornell University)
|
2020
|
13 회 인용
Logistic Regression: The Importance of Being Improper
Dylan J. Foster, Satyen Kale 외 3명
arXiv (Cornell University)
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2018
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13 회 인용
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing
Jonas Mueller, Vasilis Syrgkanis 외 1명
arXiv (Cornell University)
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2018
|
13 회 인용
Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration
Peter Grünwald, Joseph Y. Halpern
Data Archiving and Networked Services (DANS)
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2014
|
13 회 인용
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