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Minka, Tom
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1

Understanding Causality with Large Language Models: Feasibi..:

Zhang, Cheng ; Bauer, Stefan ; Bennett, Paul...
http://arxiv.org/abs/2304.05524.  , 2023
Link: http://arxiv.org/abs/230..
 
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2

Bayesian Prior Choice in IRT Estimation Using MCMC and Vari..:

Natesan, Prathiba ; Nandakumar, Ratna ; Minka, Tom.
Natesan, P., Nandakumar, R., Minka, T., & Rubright, J. D. (2016). Bayesian prior choice in IRT estimation using MCMC and variational bayes. Frontiers in Psychology, 7, 1422. doi:10.3389/fpsyg.2016.01422.  , 2016
Link: http://udspace.udel.edu/..
 
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3

A* Sampling:

Maddison, Chris J ; Tarlow, Daniel ; Minka, Tom
http://arxiv.org/abs/1411.0030.  , 2014
Link: http://arxiv.org/abs/141..
 
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4

How To Grade a Test Without Knowing the Answers --- A Bayes..:

Bachrach, Yoram ; Graepel, Thore ; Minka, Tom.
http://arxiv.org/abs/1206.6386.  , 2012
Link: http://arxiv.org/abs/120..
 
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5

Bayesian Prior Choice in IRT estimation using MCMC and Vari..:

Prathiba Natesan ; Ratna Nandakumar ; Tom Minka.
http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.01422/full.  , 2016
Link: https://doi.org/10.3389/..
 
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