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03/14/2023
Empirical Bayes inference in sparse high-dimensional generalized linear models
High-dimensional linear models have been extensively studied in the rece...
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05/02/2020
An Imitation Game for Learning Semantic Parsers from User Interaction
Despite the widely successful applications, bootstrapping and fine-tunin...
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03/03/2019
Empirical priors for prediction in sparse high-dimensional linear regression
Often the primary goal of fitting a regression model is prediction, but ...
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08/16/2018
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
Adaptive gradient methods are workhorses in deep learning. However, the ...
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01/21/2017