Drago Plecko

According to our database, Drago Plecko authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, January, 2025

2024

fairadapt: Causal Reasoning for Fair Data Preprocessing.

Drago Plecko, Nicolas Bennett, Nicolai Meinshausen

J. Stat. Softw., 2024

Causal Fairness Analysis: A Causal Toolkit for Fair Machine Learning.

Drago Plecko, Elias Bareinboim

Found. Trends Mach. Learn., 2024

Interaction Testing in Variation Analysis.

Drago Plecko

CoRR, 2024

Fairness-Accuracy Trade-Offs: A Causal Perspective.

Drago Plecko, Elias Bareinboim

CoRR, 2024

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

Drago Plecko, Elias Bareinboim

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Reconciling Predictive and Statistical Parity: A Causal Approach.

Drago Plecko, Elias Bareinboim

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fair Clustering: A Causal Perspective.

Fritz M. Bayer, Drago Plecko, Niko Beerenwinkel, Jack Kuipers

CoRR, 2023

Causal Fairness for Outcome Control.

Drago Plecko, Elias Bareinboim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Causal Framework for Decomposing Spurious Variations.

Drago Plecko, Elias Bareinboim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Causal Fairness Analysis.

Drago Plecko, Elias Bareinboim

CoRR, 2022

2021

fairadapt: Causal Reasoning for Fair Data Pre-processing.

Drago Plecko, Nicolas Bennett, Nicolai Meinshausen

CoRR, 2021

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

2019

Fair Data Adaptation with Quantile Preservation.

Drago Plecko, Nicolai Meinshausen

CoRR, 2019