624 citations · 2.4k across the 27 of their papers we have counts for
5 papers · 1 filter
Efficient Conditionally Invariant Representation Learning
Roman Pogodin, Namrata Deka, Yazhe Li +3
We introduce the Conditional Independence Regression CovariancE (CIRCE), a measure of conditional independence for multivariate continuous-valued variables. CIRCE applies as a regu…
Causal Estimation for Text Data with (Apparent) Overlap Violations
Lin Gui, Victor Veitch
Consider the problem of estimating the causal effect of some attribute of a text document; for example: what effect does writing a polite vs. rude email have on response time? To e…
The Causal Structure of Domain Invariant Supervised Representation Learning
Zihao Wang, Victor Veitch
Machine learning methods can be unreliable when deployed in domains that differ from the domains on which they were trained. There are a wide range of proposals for mitigating this…
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang, Victor Veitch
Real-world classification problems must contend with domain shift, the (potential) mismatch between the domain where a model is deployed and the domain(s) where the training data w…
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
Irina Cristali, Victor Veitch
We address the problem of using observational data to estimate peer contagion effects, the influence of treatments applied to individuals in a network on the outcomes of their neig…