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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
Multivariate Shortfall Risk Allocation
Yannick Armenti, Stéphane Crépey 외 2명
arXiv (Cornell University)
|
2015
|
4 회 인용
Myths and Legends in High-Performance Computing
Satoshi Matsuoka, Jens Domke 외 3명
arXiv (Cornell University)
|
2023
|
4 회 인용
Nash-equilibria and N-fold integer programming
Raymond Hemmecke, Shmuel Onn 외 1명
ArXiv.org
|
2009
|
4 회 인용
Near-Optimal Collaborative Learning in Bandits
Clémence Réda, Sattar Vakili 외 1명
arXiv (Cornell University)
|
2022
|
4 회 인용
Near-Optimal No-Regret Learning Dynamics for General Convex Games
Gabriele Farina, Ioannis Anagnostides 외 4명
arXiv (Cornell University)
|
2022
|
4 회 인용
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection
Yi Chen, Yining Wang 외 3명
arXiv (Cornell University)
|
2020
|
4 회 인용
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
Bo Xue, Guanghui Wang 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
New improvements in the use of dependence measures for sensitivity analysis and screening
Matthias De Lozzo, Amandine Marrel
arXiv (Cornell University)
|
2014
|
4 회 인용
New Potential-Based Bounds for Prediction with Expert Advice
Vladimir A. Kobzar, Robert V. Kohn 외 1명
arXiv (Cornell University)
|
2019
|
4 회 인용
New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees
Dan Garber, Ben Kretzu
arXiv (Cornell University)
|
2022
|
4 회 인용
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