Publications

Causally Fair Generation with Large Language Models

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Okanović, P.; Hoefler, T.; Plečko, D. — Technical Report R-28 (DPlecko), UCLA, September 2026

Where Does Bias Enter RAG? A Causal Attribution Framework

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Plečko, D. — Technical Report R-27 (DPlecko), UCLA, September 2026

Causal Bias Detection in Generative Artificial Intelligence

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Plečko, D. — Technical Report R-26 (DPlecko), UCLA, May 2026

Causal Algorithmic Recourse: Foundations and Methods

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Plečko, D.; Wang, C.; Bareinboim, E. — Technical Report R-25 (DPlecko), UCLA, May 2026

Causal Fairness for Survival Analysis

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Plečko, D. — Technical Report R-24 (DPlecko), UCLA, May 2026

Confounder Detection via Treatment Intent: A New Observational Study Design

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Plečko, D.; Okanovic, P.; Hoefler, T.; Bareinboim, E. — Technical Report R-23 (DPlecko), UCLA, May 2026

Causal Explanations through Counterfactual Variable Attribution

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Lee, K.; Plečko, D.; Bareinboim, E. — Technical Report R-22 (DPlecko), UCLA, 2025

Interaction Testing in Variation Analysis

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Plečko, D. — Technical Report R-21 (DPlecko), UCLA, 2025

Sensitivity Analysis for Causal Effects under Imperfectly Observed Binary Confounding

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Plečko, D. — Technical Report R-20 (DPlecko), UCLA, 2025

Differential Impact of Sex and Age on the Obesity Paradox

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Plečko, D.; Modra, L.; Pilcher, D.; Bellomo, R. — Australian Critical Care, 39 (1):101461, 2026

Epidemiology of Large Language Models

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Plečko, D.; Okanović, P.; Havaldar, S.; Hoefler, T.; Bareinboim, E.; — Technical Report R-18 (DPlecko), UCLA, 2025

On the Structural Basis of Conditional Ignorability

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Bareinboim, E.; Plečko, D. — Technical Report R-17 (DPlecko), UCLA, 2025

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in ICU Outcomes

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Plečko, D. et.al — Technical Report R-16 (DPlecko), UCLA, 2025

Beyond the Back-door: Probabilities of Identification

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Plečko, D.; Bareinboim, E.; Bradač, D.; Bucić, M. — Technical Report R-15 (DPlecko), UCLA, 2025

A Framework and Analytical Exploration for a Data-driven Update of the SOFA Score in Sepsis

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Plečko, D. et. al. — Critical Care & Resuscitation, 27(1):100105, 2025

Counterfactual Identification under Monotonicity Constraints

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Maiti, A.; Plečko, D.; Bareinboim, E. — AAAI Conference on Artificial Intelligence, 2025

Fairness–Accuracy Trade-offs: A Causal Perspective

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Plečko, D.; Bareinboim, E. — AAAI Conference on Artificial Intelligence, 2025

Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making

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Plečko, D.; Bareinboim, E. — Advances in Neural Information Processing Systems (NeurIPS), 2024

Causal Fairness Analysis

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Plečko, D.; Bareinboim, E. — Foundations and Trends in Machine Learning, 17 (3):304–589, 2024

Reconciling Predictive and Statistical Parity: A Causal Approach

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Plečko, D.; Bareinboim, E. — AAAI Conference on Artificial Intelligence, 2024

A Causal Framework for Decomposing Spurious Variations

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Plečko, D.; Bareinboim, E. — Advances in Neural Information Processing Systems (NeurIPS), 2023

Causal Fairness for Outcome Control

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Plečko, D.; Bareinboim, E. — Advances in Neural Information Processing Systems (NeurIPS), 2023

ricu: R’s Interface to Intensive Care Data

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Bennett*, N.; Plečko*, D.; et al. — GigaScience 12, giad041 (2023)

Predicting Sepsis Using Deep Learning across International Sites

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Moor*, M.; Bennett*, N.; Plečko*, D.; Horn*, M.; et. al. — The Lancet eClinical Medicine, 62:102124, 2023.

Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in Intensive Care

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Plečko, D. et al. — Acta Anaesthesiologica Scandinavica, 0(0):1–11, 10 2021.

The Obesity Paradox and Hypoglycemia in Critically Ill Patients

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Plečko, D.; Bennett, N.; Mårtensson, J.; Bellomo, R. — Critical Care 25(1):1–15, 2021.

fairadapt: Causal Reasoning for Fair Data Pre-processing

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Plečko, D.; Bennett, N.; Meinshausen, N. — Journal of Statistical Software, 110(4), 2024

Fair Data Adaptation with Quantile Preservation

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Plečko, D.; Meinshausen, N. — Journal of Machine Learning Research 21(242):1–44, 2020