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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
5,566개의 결과
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
Eric Brochu, Vlad M. Cora 외 1명
arXiv (Cornell University)
|
2010
|
2,138 회 인용
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross, Geoffrey J. Gordon 외 1명
arXiv (Cornell University)
|
2010
|
840 회 인용
Analysis of Thompson Sampling for the multi-armed bandit problem
Shipra Agrawal, Navin Goyal
arXiv (Cornell University)
|
2011
|
738 회 인용
On the Complexity of Best Arm Identification in Multi-Armed Bandit Models
Emilie Kaufmann, Olivier Cappé 외 1명
arXiv (Cornell University)
|
2014
|
704 회 인용
Graphical Models for Game Theory
Michael Kearns, Michael L. Littman 외 1명
arXiv (Cornell University)
|
2013
|
563 회 인용
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal, Navin Goyal
arXiv (Cornell University)
|
2012
|
547 회 인용
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov 외 2명
arXiv (Cornell University)
|
2019
|
517 회 인용
An Introductory Study on Time Series Modeling and Forecasting
Ratnadip Adhikari, R. K. Agrawal
arXiv (Cornell University)
|
2013
|
509 회 인용
GetDist: a Python package for analysing Monte Carlo samples
Antony Lewis
arXiv (Cornell University)
|
2019
|
508 회 인용
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir, Tong Zhang
arXiv (Cornell University)
|
2012
|
411 회 인용
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