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 ShalitAssociate Professor, Technion - Israel Institute of TechnologyVerified email at technion.ac.il
Omer GottesmanAmazonVerified email at amazon.com
Adel DaoudInstitute for Analytical Sociology, Linköping University, Division for Data Science and AI, ChalmersVerified email at liu.se
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
Daniel H. SolomonBrigham and Women's HospitalVerified email at partners.org
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
Nathan KallusCornell UniversityVerified email at cornell.edu
Emil CarlssonPhD student Chalmers UniversityVerified email at chalmers.se
Jamie E CollinsBrigham and Women's HospitalVerified email at bwh.harvard.edu
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu
Ashkan PanahiAssistant ProfessorVerified email at chalmers.se
Richard JohanssonUniversity of Gothenburg and Chalmers University of TechnologyVerified email at gu.se
Lena StempfleChalmers University of TechnologyVerified email at chalmers.se

Fredrik D. Johansson

Associate 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	1153	2017
Learning representations for counterfactual inference FD Johansson, U Shalit, D Sontag Proceedings of the 33rd International Conference on Machine Learning 48 …, 2016	855	2016
Why is my classifier discriminatory? I Chen, FD Johansson, D Sontag Proceedings of the 32nd International Conference on Neural Information …, 2018	517	2018
A survey on graph kernels NM Kriege, FD Johansson, C Morris Applied Network Science 5, 1-42, 2020	500	2020
Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature Medicine 25 (1), 16--18, 2019	461	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	199	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	130	2018
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	112	2022
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	88	2016
Learning weighted representations for generalization across designs FD Johansson, N Kallus, U Shalit, D Sontag arXiv preprint arXiv:1802.08598, 2018	86	2018
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	73	2014
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
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	56	2017
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	47	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	29	2020
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
Generalized shortest path kernel on graphs L Hermansson, FD Johansson, O Watanabe Discovery Science: 18th International Conference, DS 2015, Banff, AB, Canada …, 2015	24	2015
The impact of austerity on children: Uncovering effect heterogeneity by political, economic, and family factors in low-and middle-income countries A Daoud, FD Johansson Social Science Research 118, 102973, 2024	21*	2024
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	21	2021

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