Skip to main content
Nubint
エージェント
リソース
料金プラン
会社概要
JA
Home
論文レビュー
Decision Sciences
Decision Sciences 論文レビュー
Decision Sciences 分野の主要論文を動機・手法・結果に構造化した AI 論文レビュー一覧です。
すべて
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
Filter
5,756 results
How to Read a Research Compendium
Daniel Nüst, Carl Boettiger, +1
arXiv (Cornell University)
|
2018
|
6 citations
Identification of Auction Models Using Order Statistics
Yao Luo, Ruli Xiao
arXiv (Cornell University)
|
2022
|
6 citations
Improved Algorithm on Online Clustering of Bandits
Shuai Li, Wei Chen, +2
arXiv (Cornell University)
|
2019
|
6 citations
Improved Path-length Regret Bounds for Bandits
Sébastien Bubeck, Yuanzhi Li, +2
arXiv (Cornell University)
|
2019
|
6 citations
Improved Social Welfare Bounds for GSP at Equilibrium
Brendan Lucier, Renato Paes Leme
arXiv (Cornell University)
|
2010
|
6 citations
Improved Strongly Adaptive Online Learning using Coin Betting
Kwang-Sung Jun, Francesco Orabona, +2
arXiv (Cornell University)
|
2016
|
6 citations
Independent and Decentralized Learning in Markov Potential Games
Chinmay Maheshwari, Manxi Wu, +2
arXiv (Cornell University)
|
2022
|
6 citations
Inducing Equilibria in Networked Public Goods Games through Network Structure Modification
David Kempe, Sixie Yu, +1
arXiv (Cornell University)
|
2020
|
6 citations
Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier
U. N. Niranjan, Arun Rajkumar
arXiv (Cornell University)
|
2017
|
6 citations
Inference Trees: Adaptive Inference with Exploration
Tom Rainforth, Yuan Zhou, +5
arXiv (Cornell University)
|
2018
|
6 citations
297
298
299
300
301