Fredrik D. Johansson
12 papers · 2017–2026 · 7 venues · across top CS/AI venues
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Papers
Learning plug-in surrogate endpoints for randomized experiments
UAI 2026
Prediction models that learn to avoid missing values
ICML 2025
Active preference learning for ordering items in- and out-of-sample
NeurIPS 2024
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
NeurIPS 2024
Sharing Pattern Submodels for Prediction with Missing Values
AAAI 2023
Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa
IJCAI 2023
Case-based off-policy evaluation using prototype learning
UAI 2022
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
JMLR 2022
Thompson Sampling for Bandits with Clustered Arms
IJCAI 2021
Support and Invertibility in Domain-Invariant Representations
AISTATS 2019
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
ICML 2017
Estimating individual treatment effect: generalization bounds and algorithms
ICML 2017