Robuta

https://research.ibm.com/publications/hierarchical-bias-driven-stratification-for-interpretable-causal-effect-estimation Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation for AISTATS 2025... Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation for AISTATS 2025 by Lucile Ter-Minassian et al. causal effect estimation hierarchical bias driven stratification https://publica.fraunhofer.de/entities/publication/eefaea45-3e8b-436a-9fb4-e0b6616d7192 Optimizing Experimental Design for Causal Effect Estimation with Partial Measurements Instrumental variable regression quantifies causal effects between a possibly confounded treatment variable X2 and a response variable X3 by leveraging an... causal effect estimation experimental design optimizing partial measurements https://is.mpg.de/de/publications/kladny23 Causal Effect Estimation by Combining Observational and Interventional Data | MPI-IS Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to... causal effect estimation combining https://dev-site.sph.umn.edu/events-calendar/research-day/past-events/rd-2023/simion-de/ Data Adaptive Covariate Balancing for Causal Effect Estimation for High Dimensional Data - Research... causal effect estimation data adaptive balancing https://eric.ed.gov/?id=EJ927630 ERIC - EJ927630 - Estimation and Identification of the Complier Average Causal Effect Parameter in... In randomized control trials (RCTs) in the education field, the complier average causal effect (CACE) parameter is often of policy interest, because it...