David S. Watson

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 34

Top Topics

Supervised Learning Algorithms

Conditional Independence

Top Venues

Publications

David S. Watson, Jordan Penn, Lee M. Gunderson, Gecia Bravo Hermsdorff, Afsaneh Mastouri, Ricardo Silva
Bounding Causal Effects with Leaky Instruments. CoRR (2024)
Jakob Mökander, Margi Sheth, David S. Watson, Luciano Floridi
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. CoRR (2024)
Marta Ziosi, David S. Watson, Luciano Floridi
A Genealogical Approach to Algorithmic Bias. Minds Mach. 34 (2) (2024)
Jakob Mökander, Prathm Juneja, David S. Watson, Luciano Floridi
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: What can they learn from each other? CoRR (2024)
Jakob Mökander, Margi Sheth, David S. Watson, Luciano Floridi
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. Minds Mach. 33 (1) (2023)
Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva
Intervention Generalization: A View from Factor Graph Models. NeurIPS (2023)
David S. Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy
Explaining Predictive Uncertainty with Information Theoretic Shapley Values. NeurIPS (2023)
Kristin Blesch, Marvin N. Wright, David S. Watson
Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values. xAI (1) (2023)
Jakob Mökander, Margi Sheth, David S. Watson, Luciano Floridi
Correction to: The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems. Minds Mach. 33 (1) (2023)
Kirtan Padh, Jakob Zeitler, David S. Watson, Matt J. Kusner, Ricardo Silva, Niki Kilbertus
Stochastic Causal Programming for Bounding Treatment Effects. CLeaR (2023)
David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright
Adversarial Random Forests for Density Estimation and Generative Modeling. AISTATS (2023)
David S. Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy
Explaining Predictive Uncertainty with Information Theoretic Shapley Values. CoRR (2023)
Andrea Polonioli, Riccardo Ghioni, Ciro Greco, Prathm Juneja, Jacopo Tagliabue, David S. Watson, Luciano Floridi
The Ethics of Online Controlled Experiments (A/B Testing). Minds Mach. 33 (4) (2023)
Gecia Bravo-Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva
Intervention Generalization: A View from Factor Graph Models. CoRR (2023)
David S. Watson, Ricardo Silva
Causal discovery under a confounder blanket. UAI (2022)
Jakob Mökander, Prathm Juneja, David S. Watson, Luciano Floridi
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other? Minds Mach. 32 (4) (2022)
Kirtan Padh, Jakob Zeitler, David S. Watson, Matt J. Kusner, Ricardo Silva, Niki Kilbertus
Stochastic Causal Programming for Bounding Treatment Effects. CoRR (2022)
David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright
Smooth densities and generative modeling with unsupervised random forests. CoRR (2022)
Kristin Blesch, David S. Watson, Marvin N. Wright
Conditional Feature Importance for Mixed Data. CoRR (2022)
David S. Watson, Ricardo Silva
Causal discovery under a confounder blanket. CoRR (2022)
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice. Minds Mach. 32 (1) (2022)
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi
Local explanations via necessity and sufficiency: unifying theory and practice. UAI (2021)
David S. Watson, Luciano Floridi
The explanation game: a formal framework for interpretable machine learning. Synth. 198 (10) (2021)
David S. Watson, Limor Gultchin, Ankur Taly, Luciano Floridi
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice. CoRR (2021)
David S. Watson, Marvin N. Wright
Testing conditional independence in supervised learning algorithms. Mach. Learn. 110 (8) (2021)
Limor Gultchin, David S. Watson, Matt J. Kusner, Ricardo Silva
Operationalizing Complex Causes: A Pragmatic View of Mediation. ICML (2021)
David S. Watson
Rational Shapley Values. CoRR (2021)
Limor Gultchin, David S. Watson, Matt J. Kusner, Ricardo Silva
Operationalizing Complex Causes: A Pragmatic View of Mediation. CoRR (2021)
Christopher R. John, David S. Watson, Michael R. Barnes, Costantino Pitzalis, Myles J. Lewis
Spectrum: fast density-aware spectral clustering for single and multi-omic data. Bioinform. 36 (4) (2020)
Carl Öhman, David S. Watson
Are the dead taking over Facebook? A Big Data approach to the future of death online. Big Data Soc. 6 (1) (2019)
David S. Watson, Marvin N. Wright
Testing Conditional Predictive Independence in Supervised Learning Algorithms. CoRR (2019)
David S. Watson, Luciano Floridi
Crowdsourced science: sociotechnical epistemology in the e-research paradigm. Synth. 195 (2) (2018)
Carl Öhman, David S. Watson
Are the Dead Taking Over Facebook: A Big Data Approach to the Future of Death Online. CoRR (2018)
David S. Watson, Luciano Floridi
Crowdsourced science: sociotechnical epistemology in the e-research paradigm. CoRR (2016)