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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
Tight Concentrations and Confidence Sequences from the Regret of Universal Portfolio
Francesco Orabona, Kwang-Sung Jun
arXiv (Cornell University)
|
2021
|
4 회 인용
Tight relative $t$-designs on two shells in hypercubes, and Hahn and Hermite polynomials
Eiichi Bannaĭ, Etsuko Bannai 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Tightening the Sample Complexity of Empirical Risk Minimization via Preconditioned Stability.
Alon Gonen, Shai Shalev‐Shwartz
arXiv (Cornell University)
|
2016
|
4 회 인용
Time Series Data Cleaning with Regular and Irregular Time Intervals
Xi Wang, Chen Wang
arXiv (Cornell University)
|
2020
|
4 회 인용
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms
Sasan Barak, Mahdi Nasiri 외 1명
arXiv (Cornell University)
|
2019
|
4 회 인용
Time-uniform central limit theory and asymptotic confidence sequences
Ian Waudby-Smith, David Arbour 외 3명
arXiv (Cornell University)
|
2021
|
4 회 인용
Tools and Recommendations for Reproducible Teaching
Mine Dogucu, Mine Çetinkaya-Rundel
arXiv (Cornell University)
|
2022
|
4 회 인용
Top-$k$ eXtreme Contextual Bandits with Arm Hierarchy
Rajat Sen, Alexander Rakhlin 외 5명
arXiv (Cornell University)
|
2021
|
4 회 인용
Toward Understanding Privileged Features Distillation in Learning-to-Rank
Shuo Yang, Sujay Sanghavi 외 3명
arXiv (Cornell University)
|
2022
|
4 회 인용
Towards a context-dependent numerical data quality evaluation framework
Milen S. Marev, Ernesto Compatangelo 외 1명
arXiv (Cornell University)
|
2018
|
4 회 인용
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