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José Luis Montiel Olea

Jose Luis Montiel Olea

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Journal Articles

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2023
[j3]
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  dblp key:
  - journals/jet/AzevedoMOV23
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  - https://dblp.org/rec/journals/jet/AzevedoMOV23
Eduardo M. Azevedo, David Mao, José Luis Montiel Olea, Amilcar Velez:
The A/B testing problem with Gaussian priors. J. Econ. Theory 210: 105646 (2023)
[j2]
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  dblp key:
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Jose H. Blanchet, Yang Kang, José Luis Montiel Olea, Viet Anh Nguyen, Xuhui Zhang:
Dropout Training is Distributionally Robust Optimal. J. Mach. Learn. Res. 24: 180:1-180:60 (2023)
2022
[j1]
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  - journals/jmlr/Avella-MedinaOR22
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Marco Avella-Medina, José Luis Montiel Olea, Cynthia Rush, Amilcar Velez:
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations. J. Mach. Learn. Res. 23: 147:1-147:51 (2022)

Conference and Workshop Papers

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2018
[c1]
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  - conf/sigecom/AzevedoDORW18
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Eduardo M. Azevedo, Alex Deng, Jose Luis Montiel Olea, Justin Rao, E. Glen Weyl:
The A/B Testing Problem. EC 2018: 461-462

Informal and Other Publications

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2021
[i3]
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  dblp key:
  - journals/corr/abs-2104-08324
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Marco Avella-Medina, José Luis Montiel Olea, Cynthia Rush, Amilcar Velez:
On the Robustness to Misspecification of α-Posteriors and Their Variational Approximations. CoRR abs/2104.08324 (2021)
2020
[i2]
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  - journals/corr/abs-2009-06111
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Jose H. Blanchet, Yang Kang, Jose Luis Montiel Olea, Viet Anh Nguyen, Xuhui Zhang:
Machine Learning's Dropout Training is Distributionally Robust Optimal. CoRR abs/2009.06111 (2020)
2019
[i1]
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  - journals/corr/abs-1907-03809
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Jose Luis Montiel Olea, Pietro Ortoleva, Mallesh M. Pai, Andrea Prat:
Competing Models. CoRR abs/1907.03809 (2019)

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