14 citations · 46 across the 10 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.LG2023
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
Tom Blau, Iadine Chades, Amir Dezfouli +2
Reinforcement learning can learn amortised design policies for designing sequences of experiments. However, current amortised methods rely on estimators of expected information gai…
cs.LG2023★ 4 cited
Transformed Distribution Matching for Missing Value Imputation
He Zhao, Ke Sun, Amir Dezfouli +1
We study the problem of imputing missing values in a dataset, which has important applications in many domains. The key to missing value imputation is to capture the data distribut…
stat.ML2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
Ryan Thompson, Amir Dezfouli, Robert Kohn
Sparse linear models are one of several core tools for interpretable machine learning, a field of emerging importance as predictive models permeate decision-making in many domains.…