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 | 1079 | 2017 |
Learning representations for counterfactual inference FD Johansson, U Shalit, D Sontag Proceedings of the 33rd International Conference on Machine Learning 48 …, 2016 | 808 | 2016 |
Why is my classifier discriminatory? I Chen, FD Johansson, D Sontag Proceedings of the 32nd International Conference on Neural Information …, 2018 | 485 | 2018 |
A survey on graph kernels NM Kriege, FD Johansson, C Morris Applied Network Science 5, 1-42, 2020 | 473 | 2020 |
Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature Medicine 25 (1), 16--18, 2019 | 432 | 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 | 193 | 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 | 125 | 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 | 104 | 2022 |
Learning weighted representations for generalization across designs FD Johansson, N Kallus, U Shalit, D Sontag arXiv preprint arXiv:1802.08598, 2018 | 84 | 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 | 84 | 2016 |
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 | 71 | 2014 |
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 | 51 | 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 | 28 | 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 | 23 | 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 | 20 | 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 | 17 | 2021 |