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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 and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization
Abhishek Roy, Yifang Chen 외 2명
arXiv (Cornell University)
|
2019
|
10 회 인용
Online Clustering of Contextual Cascading Bandits
Shuai Li
arXiv (Cornell University)
|
2017
|
10 회 인용
Online Improper Learning with an Approximation Oracle
Elad Hazan, Wei Hu 외 2명
arXiv (Cornell University)
|
2018
|
10 회 인용
Online learning with Corrupted context: Corrupted Contextual Bandits
Djallel Bouneffouf
arXiv (Cornell University)
|
2020
|
10 회 인용
Online Learning with Pairwise Loss Functions
Yuyang Wang, Roni Khardon 외 2명
arXiv (Cornell University)
|
2013
|
10 회 인용
Online Nash Social Welfare Maximization with Predictions
Siddhartha Banerjee, Vasilis Gkatzelis 외 2명
arXiv (Cornell University)
|
2020
|
10 회 인용
Opinion Mining for Relating Subjective Expressions and Annual Earnings in US Financial Statements
Chien-Liang Chen, Chao-Lin Liu 외 2명
arXiv (Cornell University)
|
2012
|
10 회 인용
Optimal Algorithms for Ridge and Lasso Regression with Partially Observed Attributes
Elad Hazan, Tomer Koren
arXiv (Cornell University)
|
2011
|
10 회 인용
Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice
Francesco Orabona, Dávid Pál
arXiv (Cornell University)
|
2015
|
10 회 인용
Optimal Reinforcement Learning for Gaussian Systems
Philipp Hennig
arXiv (Cornell University)
|
2011
|
10 회 인용
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