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researcher

R. Bhattacharya

4 papers hereh-index 152.3k citations37 works total

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

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.ME1
  • stat.ML1
same name
  • R. Bhattacharya — 26 papers
  • R. Bhattacharya — 25 papers, h 20
  • R. Bhattacharya — 8 papers
  • R. Bhattacharya — 8 papers
  • R. Bhattacharya — 7 papers
  • R. Bhattacharya — 5 papers, h 37

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

most citedCausal Inference Under Interference And Network Uncertainty

16 citations · 26 across the 2 of their papers we have counts for

collaborators

4 papers

cs.LG2020

Differentiable Causal Discovery Under Unmeasured Confounding

Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky +1

The data drawn from biological, economic, and social systems are often confounded due to the presence of unmeasured variables. Prior work in causal discovery has focused on discret…

stat.ME2020

Full Law Identification In Graphical Models Of Missing Data: Completeness Results

Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser

Missing data has the potential to affect analyses conducted in all fields of scientific study, including healthcare, economics, and the social sciences. Several approaches to unbia…

stat.ML2019★ 10 cited

Identification In Missing Data Models Represented By Directed Acyclic Graphs

Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser +1

Missing data is a pervasive problem in data analyses, resulting in datasets that contain censored realizations of a target distribution. Many approaches to inference on the target…

cs.LG2019★ 16 cited

Causal Inference Under Interference And Network Uncertainty

Rohit Bhattacharya, Daniel Malinsky, Ilya Shpitser

Classical causal and statistical inference methods typically assume the observed data consists of independent realizations. However, in many applications this assumption is inappro…

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