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Bayesian Meta-Prior Learning Using Empirical Bayes
v1v2v3 (latest)

Bayesian Meta-Prior Learning Using Empirical Bayes

Management Sciences (MS), 2020
4 February 2020
Sareh Nabi
Houssam Nassif
Joseph Hong
H. Mamani
Guido Imbens
ArXiv (abs)PDFHTML

Papers citing "Bayesian Meta-Prior Learning Using Empirical Bayes"

17 / 17 papers shown
Sparsity via Hyperpriors: A Theoretical and Algorithmic Study under Empirical Bayes Framework
Sparsity via Hyperpriors: A Theoretical and Algorithmic Study under Empirical Bayes Framework
Zhitao Li
Yiqiu Dong
Xueying Zeng
110
0
0
09 Nov 2025
Effects of Structural Allocation of Geometric Task Diversity in Linear Meta-Learning Models
Effects of Structural Allocation of Geometric Task Diversity in Linear Meta-Learning Models
Saptati Datta
Nicolas W. Hengartner
Yulia Pimonova
Natalie E. Klein
Nicholas Lubbers
241
0
0
22 Sep 2025
Bayesian meta learning for trustworthy uncertainty quantification
Bayesian meta learning for trustworthy uncertainty quantificationIEEE Conference on Decision and Control (CDC), 2024
Zhenyuan Yuan
Thinh T. Doan
UQCV
247
0
0
27 Jul 2024
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in
  Practice
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice
Tanner Fiez
Houssam Nassif
Yu-Cheng Chen
Sergio Gamez
Lalit P. Jain
428
8
0
16 Feb 2024
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed
  Bandits
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
Biyonka Liang
Iavor Bojinov
319
9
0
09 Nov 2023
Experimental Designs for Heteroskedastic Variance
Experimental Designs for Heteroskedastic VarianceNeural Information Processing Systems (NeurIPS), 2023
Justin Weltz
Tanner Fiez
Alex Volfovsky
Eric B. Laber
Blake Mason
Houssam Nassif
Lalit P. Jain
329
9
0
06 Oct 2023
Rapid and Scalable Bayesian AB Testing
Rapid and Scalable Bayesian AB TestingInternational Conference on Data Science and Advanced Analytics (DSAA), 2023
S. Chennu
Andrew Maher
C. Pangerl
Subash Prabanantham
Jae Hyeon Bae
Jamie Martin
Bud Goswami
168
1
0
27 Jul 2023
Advancing Ad Auction Realism: Practical Insights & Modeling Implications
Advancing Ad Auction Realism: Practical Insights & Modeling Implications
Ming Chen
Sareh Nabi
Marciano M. Siniscalchi
226
3
0
21 Jul 2023
Neural Insights for Digital Marketing Content Design
Neural Insights for Digital Marketing Content DesignKnowledge Discovery and Data Mining (KDD), 2023
F. Kong
Yuan Li
Houssam Nassif
Tanner Fiez
Ricardo Henao
Shreya Chakrabarti
3DV
388
16
0
02 Feb 2023
Adaptive Experimental Design and Counterfactual Inference
Adaptive Experimental Design and Counterfactual Inference
Tanner Fiez
Sergio Gamez
Arick Chen
Houssam Nassif
Lalit P. Jain
167
7
0
25 Oct 2022
Extending Open Bandit Pipeline to Simulate Industry Challenges
Extending Open Bandit Pipeline to Simulate Industry Challenges
Bram van den Akker
N. Weber
Felipe Moraes
Dmitri Goldenberg
OffRL
219
2
0
09 Sep 2022
A Scalable Recommendation Engine for New Users and Items
A Scalable Recommendation Engine for New Users and ItemsSocial Science Research Network (SSRN), 2022
Boya Xu
Yiting Deng
C. Mela
297
2
0
06 Sep 2022
Instance-optimal PAC Algorithms for Contextual Bandits
Instance-optimal PAC Algorithms for Contextual BanditsNeural Information Processing Systems (NeurIPS), 2022
Zhao Li
Lillian J. Ratliff
Houssam Nassif
Kevin Jamieson
Lalit P. Jain
265
19
0
05 Jul 2022
Probabilistic Models for Manufacturing Lead Times
Probabilistic Models for Manufacturing Lead Times
Recep Yusuf Bekci
Yacine Mahdid
Jinling Xing
Nikita Letov
Ying Zhang
Zahid Pasha
218
0
0
28 Apr 2022
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Metadata-based Multi-Task Bandits with Bayesian Hierarchical ModelsNeural Information Processing Systems (NeurIPS), 2021
Runzhe Wan
Linjuan Ge
Rui Song
320
31
0
13 Aug 2021
Contextual Bandits with Sparse Data in Web setting
Contextual Bandits with Sparse Data in Web setting
Björn Eriksson
164
0
0
06 May 2021
Improved Confidence Bounds for the Linear Logistic Model and
  Applications to Linear Bandits
Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear BanditsInternational Conference on Machine Learning (ICML), 2020
Kwang-Sung Jun
Lalit P. Jain
Blake Mason
Houssam Nassif
369
29
0
23 Nov 2020
1
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