Fair Data Adaptation with Quantile Preservation. - Drago Plecko; Nicolai Meinshausen (CoRR, 2019)

Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning. - Michael Moor; Nicolas Bennett; Drago Plecko; Max Horn; Bastian Rieck; Nicolai Meinshausen; Peter Bühlmann; Karsten M. Borgwardt (CoRR, 2021)

fairadapt: Causal Reasoning for Fair Data Pre-processing. - Drago Plecko; Nicolas Bennett; Nicolai Meinshausen (CoRR, 2021)

Causal Fairness Analysis. - Drago Plecko; Elias Bareinboim (CoRR, 2022)

A Causal Framework for Decomposing Spurious Variations. - Drago Plecko; Elias Bareinboim (NeurIPS, 2023)

Causal Fairness for Outcome Control. - Drago Plecko; Elias Bareinboim (NeurIPS, 2023)

Reconciling Predictive and Statistical Parity: A Causal Approach. - Drago Plecko; Elias Bareinboim (AAAI, 2024)

Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making. - Drago Plecko; Elias Bareinboim (NeurIPS, 2024)

Interaction Testing in Variation Analysis. - Drago Plecko (CoRR, 2024)

Causal Fairness Analysis: A Causal Toolkit for Fair Machine Learning. - Drago Plecko; Elias Bareinboim (Found. Trends Mach. Learn., 2024)

fairadapt: Causal Reasoning for Fair Data Preprocessing. - Drago Plecko; Nicolas Bennett; Nicolai Meinshausen (J. Stat. Softw., 2024)

Counterfactual Identification Under Monotonicity Constraints. - Aurghya Maiti; Drago Plecko; Elias Bareinboim (AAAI, 2025)

Fairness-Accuracy Trade-Offs: A Causal Perspective. - Drago Plecko; Elias Bareinboim (AAAI, 2025)

Fair Clustering: A Causal Perspective. - Fritz M. Bayer; Drago Plecko; Niko Beerenwinkel; Jack Kuipers (CLeaR, 2025)

An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes. - Drago Plecko; Paul Secombe; Andrea Clarke; Amelia Fiske; Samarra Toby; Donisha Duff; David Pilcher; Leo Anthony Celi; Rinaldo Bellomo; Elias Bareinboim (CoRR, 2025)