Fredrik D. Johansson
Fredrik D. Johansson
Verified email at chalmers.se - Homepage
TitleCited byYear
Learning representations for counterfactual inference
FD Johansson, U Shalit, D Sontag
Proceedings of the 33rd International Conference on Machine Learning 48 …, 2016
1652016
Estimating individual treatment effect: generalization bounds and algorithms
U Shalit, F Johansson, D Sontag
Proceedings of the 34th International Conference on Machine Learning 70 …, 2017
1452017
Why is my classifier discriminatory?
I Chen, FD Johansson, D Sontag
Advances in Neural Information Processing Systems, 3539-3550, 2018
592018
Entity disambiguation in anonymized graphs using graph kernels
L Hermansson, T Kerola, F Johansson, V Jethava, D Dubhashi
Proceedings of the 22nd ACM international conference on Information …, 2013
452013
Global graph kernels using geometric embeddings
FD Johansson, V Jethava, D Dubhashi, C Bhattacharyya
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014
422014
Learning to play guess who? and inventing a grounded language as a consequence
E Jorge, M Kågebäck, FD Johansson, E Gustavsson
arXiv preprint arXiv:1611.03218, 2016
382016
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nature Medicine 25 (1), 16--18, 2019
292019
Learning with similarity functions on graphs using matchings of geometric embeddings
FD Johansson, D Dubhashi
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
272015
Neural context embeddings for automatic discovery of word senses
M Kågebäck, F Johansson, R Johansson, D Dubhashi
Proceedings of the 1st Workshop on Vector Space Modeling for Natural …, 2015
222015
Evaluating reinforcement learning algorithms in observational health settings
O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ...
arXiv preprint arXiv:1805.12298, 2018
202018
A survey on graph kernels
NM Kriege, FD Johansson, C Morris
Applied Network Science 5 (1), 1-42, 2020
162020
Visions and open challenges for a knowledge-based culturomics
N Tahmasebi, L Borin, G Capannini, D Dubhashi, P Exner, M Forsberg, ...
International Journal on Digital Libraries 15 (2-4), 169-187, 2015
152015
Learning weighted representations for generalization across designs
FD Johansson, N Kallus, U Shalit, D Sontag
arXiv preprint arXiv:1802.08598, 2018
112018
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
A Panahi, D Dubhashi, FD Johansson, C Bhattacharyya
Proceedings of the 34th International Conference on Machine Learning 70 …, 2017
112017
Support and Invertibility in Domain-Invariant Representations
FD Johansson, R Ranganath, D Sontag
AISTATS, Proceedings of Machine Learning Research, in PMLR 89, 527-536, 2019
82019
Classifying large graphs with differential privacy
FD Johansson, O Frost, C Retzner, D Dubhashi
International Conference on Modeling Decisions for Artificial Intelligence, 3-17, 2015
62015
Intent-aware temporal query modeling for keyword suggestion
F Johansson, T Färdig, V Jethava, S Marinov
Proceedings of the 5th Ph. D. workshop on Information and knowledge, 83-86, 2012
62012
Generalized shortest path kernel on graphs
L Hermansson, FD Johansson, O Watanabe
International Conference on Discovery Science, 78-85, 2015
42015
Weighted theta functions and embeddings with applications to max-cut, clustering and summarization
FD Johansson, A Chattoraj, C Bhattacharyya, D Dubhashi
Advances in Neural Information Processing Systems, 1018-1026, 2015
42015
Estimating Treatment Heterogeneity of International Monetary Fund Programs on Child Poverty with Generalized Random Forest
A Daoud, F Johansson
SocArXiv https://doi.org/10.31235/osf.io/awfjt, 2019
22019
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Articles 1–20