Watson, David

12 publications

NeurIPS 2025 Abstract Counterfactuals for Language Model Agents Edoardo Pona, Milad Kazemi, Yali Du, David Watson, Nicola Paoletti

NeurIPS 2025 Autoencoding Random Forests Binh Duc Vu, Jan Kapar, Marvin N. Wright, David Watson

AISTATS 2025 BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments Jordan Penn, Lee M. Gunderson, Gecia Bravo-Hermsdorff, Ricardo Silva, David Watson

ICLRW 2025 Multi-Omic Causal Discovery Using Genotypes and Gene Expression Stephen M. Asiedu, David Watson

ICLRW 2024 Actions Speak Louder than Words: Superficial Fairness Alignment in LLMs Qiyao Wei, Alex James Chan, Lea Goetz, David Watson, Mihaela van der Schaar

UAI 2024 Bounding Causal Effects with Leaky Instruments David Watson, Jordan Penn, Lee Gunderson, Gecia Bravo-Hermsdorff, Afsaneh Mastouri, Ricardo Silva

NeurIPS 2023 Explaining Predictive Uncertainty with Information Theoretic Shapley Values David Watson, Joshua O'Hara, Niek Tax, Richard Mudd, Ido Guy

NeurIPS 2023 Intervention Generalization: A View from Factor Graph Models Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva

CLeaR 2023 Stochastic Causal Programming for Bounding Treatment Effects Kirtan Padh, Jakob Zeitler, David Watson, Matt Kusner, Ricardo Silva, Niki Kilbertus

NeurIPSW 2022 Partial Identification Without Distributional Assumptions Kirtan Padh, Jakob Zeitler, David Watson, Matt Kusner, Ricardo Silva, Niki Kilbertus

ICML 2021 Operationalizing Complex Causes: A Pragmatic View of Mediation Limor Gultchin, David Watson, Matt Kusner, Ricardo Silva

PGM 2020 Causal Feature Learning for Utility-Maximizing Agents David Kinney, David Watson