José Luis Montiel Olea

According to our database, José Luis Montiel Olea authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dropout Training is Distributionally Robust Optimal.

Jose H. Blanchet, Yang Kang, José Luis Montiel Olea, Viet Anh Nguyen, Xuhui Zhang

J. Mach. Learn. Res., 2023

The A/B testing problem with Gaussian priors.

Eduardo M. Azevedo, David Mao, José Luis Montiel Olea, Amilcar Velez

J. Econ. Theory, 2023

2022

On the Robustness to Misspecification of α-posteriors and Their Variational Approximations.

Marco Avella-Medina, José Luis Montiel Olea, Cynthia Rush, Amilcar Velez

J. Mach. Learn. Res., 2022

2020

Machine Learning's Dropout Training is Distributionally Robust Optimal.

Jose H. Blanchet, Yang Kang, Jose Luis Montiel Olea, Viet Anh Nguyen, Xuhui Zhang

CoRR, 2020

2019

Competing Models.

Jose Luis Montiel Olea, Pietro Ortoleva, Mallesh M. Pai, Andrea Prat

CoRR, 2019

2018

The A/B Testing Problem.

Eduardo M. Azevedo, Alex Deng, Jose Luis Montiel Olea, Justin Rao, E. Glen Weyl

Proceedings of the 2018 ACM Conference on Economics and Computation, 2018