
Deconfounding Scores: Feature Representations for Causal Effect Estimation with Weak Overlap
A key condition for obtaining reliable estimates of the causal effect of...
read it

Revisiting Rashomon: A Comment on "The Two Cultures"
Here, I provide some reflections on Prof. Leo Breiman's "The Two Culture...
read it

SLOE: A Faster Method for Statistical Inference in HighDimensional Logistic Regression
Logistic regression remains one of the most widely used tools in applied...
read it

Copulabased Sensitivity Analysis for MultiTreatment Causal Inference with Unobserved Confounding
Recent work has focused on the potential and pitfalls of causal identifi...
read it

Underspecification Presents Challenges for Credibility in Modern Machine Learning
ML models often exhibit unexpectedly poor behavior when they are deploye...
read it

On Robustness and Transferability of Convolutional Neural Networks
Modern deep convolutional networks (CNNs) are often criticized for not g...
read it

Evaluating PredictionTime Batch Normalization for Robustness under Covariate Shift
Covariate shift has been shown to sharply degrade both predictive accura...
read it

A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro Data
Precision oncology, the genetic sequencing of tumors to identify druggab...
read it

Comment: Reflections on the Deconfounder
The aim of this comment (set to appear in a formal discussion in JASA) i...
read it

On MultiCause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives
Unobserved confounding is a central barrier to drawing causal inferences...
read it

Flexible sensitivity analysis for observational studies without observable implications
A fundamental challenge in observational causal inference is that assump...
read it

Overlap in Observational Studies with HighDimensional Covariates
Causal inference in observational settings typically rests on a pair of ...
read it

Reducing Reparameterization Gradient Variance
Optimization with noisy gradients has become ubiquitous in statistics an...
read it
Alexander D'Amour
is this you? claim profile