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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
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Steven Euijong Whang, Yuji Roh 외 2명
arXiv (Cornell University)
|
2021
|
40 회 인용
Distributed Exploration in Multi-Armed Bandits
Eshcar Hillel, Zohar Karnin 외 3명
arXiv (Cornell University)
|
2013
|
40 회 인용
Improvements on removing non-optimal support points in D-optimum design algorithms
Radoslav Harman, Luc Pronzato
arXiv (Cornell University)
|
2007
|
40 회 인용
Irregular Interval Valued Fuzzy Graphs
Madhumangal Pal, Hossein Rashmanlou
arXiv (Cornell University)
|
2014
|
40 회 인용
More Adaptive Algorithms for Adversarial Bandits
Chen-Yu Wei, Haipeng Luo
arXiv (Cornell University)
|
2018
|
40 회 인용
Online Structured Prediction via Coactive Learning
Pannagadatta K. Shivaswamy, Thorsten Joachims
arXiv (Cornell University)
|
2012
|
40 회 인용
The strain on scientific publishing
Mark A. Hanson, Pablo Gómez Barreiro 외 2명
arXiv (Cornell University)
|
2023
|
40 회 인용
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free
Yifang Chen, Chung‐Wei Lee 외 2명
arXiv (Cornell University)
|
2019
|
39 회 인용
A Tutorial on Thompson Sampling
Daniel Russo, Benjamin Van Roy 외 3명
arXiv (Cornell University)
|
2017
|
39 회 인용
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria, Amit Deshpande 외 1명
arXiv (Cornell University)
|
2016
|
39 회 인용
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