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James E. Johndrow

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Journal Articles

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2020
[j2]
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James E. Johndrow, Paulo Orenstein, Anirban Bhattacharya:
Scalable Approximate MCMC Algorithms for the Horseshoe Prior. J. Mach. Learn. Res. 21: 73:1-73:61 (2020)
2018
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Leo L. Duan, James E. Johndrow, David B. Dunson:
Scaling up Data Augmentation MCMC via Calibration. J. Mach. Learn. Res. 19: 64:1-64:34 (2018)

Conference and Workshop Papers

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2013
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James E. Johndrow, David B. Dunson, Kristian Lum:
Diagonal Orthant Multinomial Probit Models. AISTATS 2013: 29-38

Informal and Other Publications

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2016
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James E. Johndrow, Aaron Smith, Natesh S. Pillai, David B. Dunson:
Inefficiency of Data Augmentation for Large Sample Imbalanced Data. CoRR abs/1605.05798 (2016)
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Kristian Lum, James E. Johndrow:
A statistical framework for fair predictive algorithms. CoRR abs/1610.08077 (2016)

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