53 citations · 70 across the 14 of their papers we have counts for
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cs.LG2021
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
Justin Lim, Christina X Ji, Michael Oberst +3
Individuals often make different decisions when faced with the same context, due to personal preferences and background. For instance, judges may vary in their leniency towards cer…
cs.LG2021★ 1 cited
Regularizing towards Causal Invariance: Linear Models with Proxies
Michael Oberst, Nikolaj Thams, Jonas Peters +1
We propose a method for learning linear models whose predictive performance is robust to causal interventions on unobserved variables, when noisy proxies of those variables are ava…