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researcher

A. Beam

13 papers hereh-index 249.4k citations86 works total

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

author position
  • middle author2
  • last author10

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CL4
  • stat.ML3
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedA Review of Challenges and Opportunities in Machine Learning for Health

253 citations · 330 across the 13 of their papers we have counts for

collaborators
Showing stat.MLShow all

3 papers · 1 filter

stat.ML2025

Doubly Robust Monte Carlo Tree Search

Manqing Liu, Andrew L. Beam

We present Doubly Robust Monte Carlo Tree Search (DR-MCTS), a novel algorithm that integrates Doubly Robust (DR) off-policy estimation into Monte Carlo Tree Search (MCTS) to enhanc…

stat.ML2024

Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data

Sophia M Rein, Jing Li, Miguel Hernan +1

The g-formula can be used to estimate causal effects of sustained treatment strategies using observational data under the identifying assumptions of consistency, positivity, and ex…

stat.ML2024★ 1 cited

DAG-aware Transformer for Causal Effect Estimation

Manqing Liu, David R. Bellamy, Andrew L. Beam

Causal inference is a critical task across fields such as healthcare, economics, and the social sciences. While recent advances in machine learning, especially those based on the d…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.