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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
Two tests for sequential detection of a change-point in a nonlinear model
Gabriela Ciuperca
arXiv (Cornell University)
|
2012
|
17 회 인용
Variable Metric Stochastic Approximation Theory
Peter Sunehag, Jochen Trumpf 외 2명
ArXiv.org
|
2009
|
17 회 인용
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Daniel Kühn, Peyman Mohajerin Esfahani 외 2명
arXiv (Cornell University)
|
2019
|
17 회 인용
Weak Convergence (IA). Sequences of Random Vectors
Gane Samb Lô, Modou Ngom 외 1명
arXiv (Cornell University)
|
2016
|
17 회 인용
X-Risk Analysis for AI Research
Dan Hendrycks, Mantas Mazeika
arXiv (Cornell University)
|
2022
|
17 회 인용
A Multi-Objective Learning to re-Rank Approach to Optimize Online Marketplaces for Multiple Stakeholders
Phong Nguyen, John Dines 외 1명
arXiv (Cornell University)
|
2017
|
16 회 인용
A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games
Miroslav Dudı́k, Geoffrey J. Gordon
arXiv (Cornell University)
|
2012
|
16 회 인용
A scoring framework for tiered warnings and multicategorical forecasts based on fixed risk measures
Robert Taggart, Loveday, Nicholas 외 1명
arXiv (Cornell University)
|
2021
|
16 회 인용
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption
Peter L. Bartlett, Victor Gabillon 외 1명
arXiv (Cornell University)
|
2018
|
16 회 인용
A Stochastic View of Optimal Regret through Minimax Duality
Jacob Abernethy, Alekh Agarwal 외 2명
ArXiv.org
|
2009
|
16 회 인용
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