Showing 1–20 of 23 results
/ Date/ Name
Apr 9, 2021Tailored inference for finite populations: conditional validity and transfer across distributionsSep 19, 2022Distributionally robust and generalizable inferenceAug 29, 2020Model selection for estimation of causal parametersDec 12, 2024Beyond Reweighting: On the Predictive Role of Covariate Shift in Effect GeneralizationSep 3, 2023Diagnosing the role of observable distribution shift in scientific replicationsApr 27, 2022On the statistical role of inexact matching in observational studiesJul 30, 2019Incremental causal effectsJul 20, 2016Causal inference in partially linear structural equation modelsJan 18, 2018Anchor regression: heterogeneous data meets causalityFeb 24, 2022Calibrated inference: statistical inference that accounts for both sampling uncertainty and distributional uncertaintyFeb 27, 2015Confidence Intervals for Maximin Effects in Inhomogeneous Large-Scale DataJun 19, 2017Causal Dantzig: fast inference in linear structural equation models with hidden variables under additive interventionsJun 8, 2015backShift: Learning causal cyclic graphs from unknown shift interventionsApr 9, 2025Predicting data value before collection: A coefficient for prioritizing sources under random distribution shiftJun 6, 2021Causal aggregation: estimation and inference of causal effects by constraint-based data fusionJun 5, 2023Learning under random distributional shiftsJul 17, 2025Optimal Empirical Risk Minimization under Temporal Distribution ShiftsApr 29, 2024Out-of-distribution generalization under random, dense distributional shiftsMay 7, 2021The $s$-value: evaluating stability with respect to distributional shiftsNov 18, 2022Modular Regression: Improving Linear Models by Incorporating Auxiliary Data