Fredrik D. Johansson
11 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (8)
π
Interdisciplinary Bridge
π
Conference Polyglot
(7)
π
Academic Marathon
(8)
π
Century Club
(11)
π₯
Unstoppable
(5)
Conferences
ICML (3)
IJCAI (2)
NIPS (2)
AAAI (1)
AISTATS (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
generalization bound
(2)
domain adaptation
(2)
representation learning
(2)
causal inference
(2)
prototype learning
(1)
temporal modeling
(1)
off-policy evaluation
(1)
convex optimization
(1)
sample efficiency
(1)
epistemic uncertainty
(1)
feature invariance
(1)
unsupervised domain adaptation
(1)
importance sampling
(1)
convex relaxation
(1)
sparse regularization
(1)
active preference learning
(1)
transfer learning
(1)
sparsity-inducing regularization
(1)
thompson sampling
(1)
stochastic optimization
(1)
Papers
Prediction models that learn to avoid missing values
ICML 2025
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark
NIPS 2024
Active preference learning for ordering items in- and out-of-sample
NIPS 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