Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
필터
5,756개의 결과
Optimal Budget-Feasible Mechanisms for Additive Valuations
Nick Gravin, Yaonan Jin 외 2명
arXiv (Cornell University)
|
2019
|
4 회 인용
Optimal Detection For Sparse Mixtures
Tommaso Cai, Yihong Wu
arXiv (Cornell University)
|
2012
|
4 회 인용
Optimal Dynamic Contracts for a Large-Scale Principal-Agent Hierarchy: A Concavity-Preserving Approach
Christopher W. Miller, Insoon Yang
arXiv (Cornell University)
|
2015
|
4 회 인용
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
Dheeraj Baby, Yu-Xiang Wang
arXiv (Cornell University)
|
2022
|
4 회 인용
Optimal Equilibria of the Best Shot Game
Luca Dall’Asta, Paolo Pin 외 4명
arXiv (Cornell University)
|
2009
|
4 회 인용
Optimal Incentive Contract with Endogenous Monitoring Technology
Anqi Li, Ming Yang
arXiv (Cornell University)
|
2018
|
4 회 인용
Optimal Learning for Sequential Decision Making for Expensive Cost Functions with Stochastic Binary Feedbacks
Yingfei Wang, Chu Wang 외 1명
arXiv (Cornell University)
|
2017
|
4 회 인용
Optimal learning with Bernstein Online Aggregation
Olivier Wintenberger
arXiv (Cornell University)
|
2014
|
4 회 인용
Optimal mechanisms for distributed resource-allocation.
Rahul Chandan, Dario Paccagnan 외 1명
arXiv (Cornell University)
|
2019
|
4 회 인용
Optimal Odd Arm Identification with Fixed Confidence.
Gayathri R Prabhu, Srikrishna Bhashyam 외 2명
arXiv (Cornell University)
|
2017
|
4 회 인용
441
442
443
444
445