IDENTIFYING CAUSAL-EFFECT INFERENCE FAILURE WITH UNCERTAINTY-AWARE MODELS

von Jesson, Andrew
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 14 of 27 (2021)

QUANTIFYING IGNORANCE IN INDIVIDUAL-LEVEL CAUSAL-EFFECT ESTIMATES UNDER HIDDEN CONFOUNDING

von JESSON, ANDREW
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 7 of 16 (2022)

Interventions, Where and How? Experimental Design for Causal Models at Scale

von Tigas, Panagiotis
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 31 of 50 (2023)

Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data

von Jesson, Andrew
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 36 of 36 (2022)

Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions

von Jesson, Andrew
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 18 of 50 (2023)