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A. D'Amour

30 papers hereh-index 224.4k citations51 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author3
  • middle author15
  • last author7

Across the 28 of 30 papers where every author was matched, so the position is known.

fields
  • cs.LG12
  • stat.ME7
  • stat.ML6
  • stat.AP2
  • cs.CL1
  • cs.CV1
same name
  • A. D'Amour — 5 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedUnderspecification Presents Challenges for Credibility in Modern Machine Learning

430 citations · 856 across the 28 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 2 cited

A Biologically Plausible Benchmark for Contextual Bandit Algorithms in Precision Oncology Using in vitro Data

Niklas T. Rindtorff, MingYu Lu, Nisarg A. Patel +2

Precision oncology, the genetic sequencing of tumors to identify druggable targets, has emerged as the standard of care in the treatment of many cancers. Nonetheless, due to the pa…

stat.ME2019

Comment: Reflections on the Deconfounder

Alexander D'Amour

The aim of this comment (set to appear in a formal discussion in JASA) is to draw out some conclusions from an extended back-and-forth I have had with Wang and Blei regarding the d…

cs.LG2019★ 2 cited

Detecting Underspecification with Local Ensembles

David Madras, James Atwood, Alex D'Amour

We present local ensembles, a method for detecting underspecification -- when many possible predictors are consistent with the training data and model class -- at test time in a pr…

stat.ML2019★ 28 cited

On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives

Alexander D'Amour

Unobserved confounding is a central barrier to drawing causal inferences from observational data. Several authors have recently proposed that this barrier can be overcome in the ca…

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