Fredrik Johansson
Showing 45 publications
Image-based Treatment Effect Heterogeneity
Sharing pattern submodels for prediction with missing values
Using Satellite Images and Deep Learning to Measure Health and Living Standards in India
Sharing Pattern Submodels for Prediction with Missing Values
ADCB: An Alzheimer's disease simulator for benchmarking observational estimators of causal effects
ADCB: An Alzheimer’s disease simulator for benchmarking observational estimators of causal effects
Efficient learning of nonlinear prediction models with time-series privileged information
Case-Based Off-Policy Evaluation Using Prototype Learning
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models
Efficient learning of nonlinear prediction models with time-series privileged information
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks
Case-Based Off-Policy Evaluation Using Prototype Learning
Thompson Sampling for Bandits with Clustered Arms
Learning Approximate and Exact Numeral Systems via Reinforcement Learning
Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer’s disease
Estimation of Utility-Maximizing Bounds on Potential Outcomes
Estimation of bounds on potential outcomes for decision making
Characterization of Overlap in Observational Studies
Learning to search efficiently for causally near-optimal treatments
Support and Invertibility in Domain-Invariant Representations
Guidelines for reinforcement learning in healthcare
Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions
Why is my classifier discriminatory?
Estimating individual treatment effect: generalization bounds and algorithms
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
Learning representations for counterfactual inference
Weighted theta functions and embeddings with applications to Max-Cut, clustering and summarization
Classifying large graphs with differential privacy
Generalized shortest path kernel on graphs
Neural context embeddings for automatic discovery of word senses
Learning with similarity functions on graphs using matchings of geometric embeddings
Visions and open challenges for a knowledge-based culturomics
Global graph kernels using geometric embeddings
DLOREAN: Dynamic Location-aware Reconstruction of multiway Networks
Entity disambiguation in anonymized graphs using graph kernels
Intent-aware temporal query modeling for keyword suggestion
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