activity
20182020
most citedSupport and Invertibility in Domain-Invariant Representations

42 citations · 42 across the 1 of their papers we have counts for

collaborators

9 papers

cs.LG2020

Learning to search efficiently for causally near-optimal treatments

Samuel Håkansson, Viktor Lindblom, Omer Gottesman +1

Finding an effective medical treatment often requires a search by trial and error. Making this search more efficient by minimizing the number of unnecessary trials could lower both…

cs.LG2019

Estimation of Bounds on Potential Outcomes For Decision Making

Maggie Makar, Fredrik D. Johansson, John Guttag +1

Estimation of individual treatment effects is commonly used as the basis for contextual decision making in fields such as healthcare, education, and economics. However, it is often…

cs.LG2019

Characterization of Overlap in Observational Studies

Michael Oberst, Fredrik D. Johansson, Dennis Wei +4

Overlap between treatment groups is required for non-parametric estimation of causal effects. If a subgroup of subjects always receives the same intervention, we cannot estimate th…

cs.LG2019

A Survey on Graph Kernels

Nils M. Kriege, Fredrik D. Johansson, Christopher Morris

Graph kernels have become an established and widely-used technique for solving classification tasks on graphs. This survey gives a comprehensive overview of techniques for kernel-b…

stat.ML201942 cited

Support and Invertibility in Domain-Invariant Representations

Fredrik D. Johansson, David Sontag, Rajesh Ranganath

Learning domain-invariant representations has become a popular approach to unsupervised domain adaptation and is often justified by invoking a particular suite of theoretical resul…

stat.AP2018

Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions

Fredrik D. Johansson

We study heterogeneity in the effect of a mindset intervention on student-level performance through an observational dataset from the National Study of Learning Mindsets (NSLM). Ou…