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Decision Sciences 论文解读
Decision Sciences 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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5,756 results
Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective
Dylan J. Foster, Alexander Rakhlin, +2
arXiv (Cornell University)
|
2020
|
21 citations
Jointly private convex programming
Justin Hsu, Zhiyi Huang, +2
arXiv (Cornell University)
|
2016
|
21 citations
Learning with Good Feature Representations in Bandits and in RL with a Generative Model
Tor Lattimore, Csaba Szepesvári, +1
arXiv (Cornell University)
|
2019
|
21 citations
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation
Jiafan He, Dongruo Zhou, +1
arXiv (Cornell University)
|
2020
|
21 citations
Minimax Optimal Algorithms for Unconstrained Linear Optimization
Brendan McMahan, Jacob Abernethy
arXiv (Cornell University)
|
2013
|
21 citations
Nonstochastic Bandits with Composite Anonymous Feedback
Nicolò Cesa‐Bianchi, Tommaso Cesari, +3
arXiv (Cornell University)
|
2021
|
21 citations
On Soft Mappings
Çiğdem Gündüz Aras, Ayşe Sönmez, +1
arXiv (Cornell University)
|
2013
|
21 citations
Online Influence Maximization under Linear Threshold Model
Shuai Li, Fang Kong, +3
arXiv (Cornell University)
|
2020
|
21 citations
Online Multi-task Learning with Hard Constraints
Gábor Lugosi, Omiros Papaspiliopoulos, +1
ArXiv.org
|
2009
|
21 citations
Online Open World Recognition
Rocco De Rosa, Thomas Mensink, +1
arXiv (Cornell University)
|
2016
|
21 citations
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