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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..
?
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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