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Fredrik D. Johansson
Fredrik D. Johansson
在 chalmers.se 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
10792017
Learning representations for counterfactual inference
FD Johansson, U Shalit, D Sontag
Proceedings of the 33rd International Conference on Machine Learning 48 …, 2016
8082016
Why is my classifier discriminatory?
I Chen, FD Johansson, D Sontag
Proceedings of the 32nd International Conference on Neural Information …, 2018
4852018
A survey on graph kernels
NM Kriege, FD Johansson, C Morris
Applied Network Science 5, 1-42, 2020
4732020
Guidelines for reinforcement learning in healthcare
O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ...
Nature Medicine 25 (1), 16--18, 2019
4322019
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
1932019
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
1252018
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
FD Johansson, U Shalit, N Kallus, D Sontag
Journal of Machine Learning Research 23 (166), 1–50, 2022
1042022
Learning weighted representations for generalization across designs
FD Johansson, N Kallus, U Shalit, D Sontag
arXiv preprint arXiv:1802.08598, 2018
842018
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
842016
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
722013
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
712014
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
512017
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
472015
Characterization of overlap in observational studies
M Oberst, F Johansson, D Wei, T Gao, G Brat, D Sontag, K Varshney
International Conference on Artificial Intelligence and Statistics, 788-798, 2020
282020
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
282015
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, 169-187, 2015
272015
Generalized shortest path kernel on graphs
L Hermansson, FD Johansson, O Watanabe
Discovery Science: 18th International Conference, DS 2015, Banff, AB, Canada …, 2015
232015
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
202019
Predicting response to tocilizumab monotherapy in rheumatoid arthritis: a real-world data analysis using machine learning
FD Johansson, JE Collins, V Yau, H Guan, SC Kim, E Losina, D Sontag, ...
The Journal of Rheumatology 48 (9), 1364-1370, 2021
172021
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