Fredrik D. Johansson

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David SontagProfessor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Devdatt DubhashiProfessor ChalmersVerified email at chalmers.se
Uri ShalitAssistant Professor, Technion - Israel Institute of TechnologyVerified email at technion.ac.il
Omer GottesmanAmazonVerified email at amazon.com
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
Matthieu KomorowskiMD, PhD, Clinical Senior Lecturer at Imperial College London ; Visiting Scholar at MITVerified email at imperial.ac.uk
Chiranjib BhattacharyyaProfessor, Indian Institute of ScienceVerified email at csa.iisc.ernet.in
Adel DaoudInstitute for Analytical Sociology, Linköping University, Division for Data Science and AI, ChalmersVerified email at liu.se
Mikael KågebäckChalmers University of TechnologyVerified email at chalmers.se
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoVerified email at berkeley.edu
Christopher MorrisRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Nils M. KriegeUniversity of ViennaVerified email at univie.ac.at
Daniel H. SolomonBrigham and Women's HospitalVerified email at partners.org
Nathan KallusCornell UniversityVerified email at cornell.edu
Jamie E CollinsBrigham and Women's HospitalVerified email at bwh.harvard.edu
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu
Richard JohanssonUniversity of Gothenburg and Chalmers University of TechnologyVerified email at gu.se
Ashkan PanahiAssistant ProfessorVerified email at chalmers.se
Pierre NuguesProfessor of computer science, Lund UniversityVerified email at cs.lth.se
Lars BorinProfessor i språkvetenskaplig databehandling, Språkbanken, Göteborgs universitetVerified email at svenska.gu.se

Fredrik D. Johansson

Assistant Professor, Chalmers University of Technology

Verified email at chalmers.se - Homepage

Machine Learning Causal Inference Healthcare


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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	896	2017
Learning representations for counterfactual inference FD Johansson, U Shalit, D Sontag Proceedings of the 33rd International Conference on Machine Learning 48 …, 2016	693	2016
Why is my classifier discriminatory? I Chen, FD Johansson, D Sontag Proceedings of the 32nd International Conference on Neural Information …, 2018	421	2018
A survey on graph kernels NM Kriege, FD Johansson, C Morris Applied Network Science 5 (1), 1-42, 2020	415	2020
Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature Medicine 25 (1), 16--18, 2019	375	2019
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	174	2019
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	108	2018
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	78	2016
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	77	2022
Learning weighted representations for generalization across designs FD Johansson, N Kallus, U Shalit, D Sontag arXiv preprint arXiv:1802.08598, 2018	76	2018
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	72	2013
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	70	2014
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	48	2015
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	46	2017
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	28	2015
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	27	2015
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	23	2020
Generalized shortest path kernel on graphs L Hermansson, FD Johansson, O Watanabe Discovery Science: 18th International Conference, DS 2015, Banff, AB, Canada …, 2015	21	2015
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	19	2019
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	15	2021

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