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ORCIDFredrik D. Johansson
Person information
- affiliation: Chalmers University of Technology, Göteborg, Sweden
Other persons with the same name
- Fredrik Johansson — disambiguation page
- Fredrik Johansson 0001
![[0000-0002-7368-092X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7368-092X")
— Bordeaux University, LFANT team (and 1 more) - Fredrik Johansson 0003 — Lund University, Department of Experimental Medicine, Sweden
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2020 – today
- 2023
[j4]Newton Mwai Kinyanjui, Emil Carlsson, Fredrik D. Johansson:
Fast Treatment Personalization with Latent Bandits in Fixed-Confidence Pure Exploration. Trans. Mach. Learn. Res. 2023 (2023)- [i24]Connor T. Jerzak, Fredrik D. Johansson, Adel Daoud:
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities. CoRR abs/2301.12985 (2023) - [i23]Adam Breitholtz, Fredrik D. Johansson:
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks. CoRR abs/2303.08720 (2023) - [i22]Adam Breitholtz, Anton Matsson, Fredrik D. Johansson:
Unsupervised domain adaptation by learning using privileged information. CoRR abs/2303.09350 (2023) - 2022
- [j3]Adam Breitholtz, Fredrik D. Johansson:
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks. Trans. Mach. Learn. Res. 2022 (2022) - [c22]Rickard K. A. Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag, Fredrik Johansson:
Using time-series privileged information for provably efficient learning of prediction models. AISTATS 2022: 5459-5484 - [c21]Newton Mwai Kinyanjui, Fredrik D. Johansson:
ADCB: An Alzheimer's disease simulator for benchmarking observational estimators of causal effects. CHIL 2022: 103-118 - [c20]Bastian Jung, Fredrik D. Johansson:
Efficient learning of nonlinear prediction models with time-series privileged information. NeurIPS 2022 - [c19]Anton Matsson, Fredrik D. Johansson:
Case-based off-policy evaluation using prototype learning. UAI 2022: 1339-1349 - [i21]Adel Daoud, Felipe Jordan, Makkunda Sharma, Fredrik D. Johansson, Devdatt P. Dubhashi, Sourabh Bikash Paul, Subhashis Banerjee:
Using satellites and artificial intelligence to measure health and material-living standards in India. CoRR abs/2202.00109 (2022) - [i20]Connor T. Jerzak, Fredrik Johansson, Adel Daoud:
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa. CoRR abs/2206.06410 (2022) - [i19]Connor T. Jerzak, Fredrik Johansson, Adel Daoud:
Image-based Treatment Effect Heterogeneity. CoRR abs/2206.06417 (2022) - [i18]Bastian Jung, Fredrik D. Johansson:
Efficient learning of nonlinear prediction models with time-series privileged information. CoRR abs/2209.07067 (2022) - 2021
- [c18]Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson:
Thompson Sampling for Bandits with Clustered Arms. IJCAI 2021: 2212-2218 - [i17]Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson:
Learning Approximate and Exact Numeral Systems via Reinforcement Learning. CoRR abs/2105.13857 (2021) - [i16]Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson:
Thompson Sampling for Bandits with Clustered Arms. CoRR abs/2109.01656 (2021) - [i15]Rickard Karlsson, Martin Willbo, Zeshan M. Hussain, Rahul G. Krishnan, David A. Sontag, Fredrik D. Johansson:
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models. CoRR abs/2110.14993 (2021) - [i14]Newton Mwai Kinyanjui, Fredrik D. Johansson:
ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects. CoRR abs/2111.06811 (2021) - [i13]Anton Matsson, Fredrik D. Johansson:
Case-based off-policy policy evaluation using prototype learning. CoRR abs/2111.11113 (2021) - 2020
- [j2]Nils M. Kriege, Fredrik D. Johansson, Christopher Morris:
A survey on graph kernels. Appl. Netw. Sci. 5(1): 6 (2020) - [c17]Michael Oberst, Fredrik D. Johansson, Dennis Wei, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney:
Characterization of Overlap in Observational Studies. AISTATS 2020: 788-798 - [c16]Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag:
Estimation of Bounds on Potential Outcomes For Decision Making. ICML 2020: 6661-6671 - [c15]Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson:
Learning to search efficiently for causally near-optimal treatments. NeurIPS 2020 - [i12]Fredrik D. Johansson, Uri Shalit, Nathan Kallus, David A. Sontag:
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects. CoRR abs/2001.07426 (2020) - [i11]Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson:
Learning to search efficiently for causally near-optimal treatments. CoRR abs/2007.00973 (2020)
2010 – 2019
- 2019
- [c14]Fredrik D. Johansson, David A. Sontag, Rajesh Ranganath:
Support and Invertibility in Domain-Invariant Representations. AISTATS 2019: 527-536 - [i10]Fredrik D. Johansson, David A. Sontag, Rajesh Ranganath:
Support and Invertibility in Domain-Invariant Representations. CoRR abs/1903.03448 (2019) - [i9]Nils M. Kriege, Fredrik D. Johansson, Christopher Morris:
A Survey on Graph Kernels. CoRR abs/1903.11835 (2019) - [i8]Fredrik D. Johansson, Dennis Wei, Michael Oberst, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney:
Characterization of Overlap in Observational Studies. CoRR abs/1907.04138 (2019) - [i7]Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag:
Estimation of Utility-Maximizing Bounds on Potential Outcomes. CoRR abs/1910.04817 (2019) - 2018
- [c13]Irene Y. Chen, Fredrik D. Johansson, David A. Sontag:
Why Is My Classifier Discriminatory? NeurIPS 2018: 3543-3554 - [i6]Irene Y. Chen, Fredrik D. Johansson, David A. Sontag:
Why Is My Classifier Discriminatory? CoRR abs/1805.12002 (2018) - [i5]Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez:
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR abs/1805.12298 (2018) - [i4]Fredrik D. Johansson:
Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions. CoRR abs/1811.05975 (2018) - 2017
- [c12]Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya:
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. ICML 2017: 2769-2777 - [c11]Uri Shalit, Fredrik D. Johansson, David A. Sontag:
Estimating individual treatment effect: generalization bounds and algorithms. ICML 2017: 3076-3085 - 2016
- [b1]Fredrik Johansson:
Learning with Geometric Embeddings of Graphs. Chalmers University of Technology, Gothenburg, Sweden, 2016 - [c10]Fredrik D. Johansson, Uri Shalit, David A. Sontag:
Learning Representations for Counterfactual Inference. ICML 2016: 3020-3029 - [i3]Fredrik D. Johansson, Uri Shalit, David A. Sontag:
Learning Representations for Counterfactual Inference. CoRR abs/1605.03661 (2016) - [i2]Uri Shalit, Fredrik D. Johansson, David A. Sontag:
Bounding and Minimizing Counterfactual Error. CoRR abs/1606.03976 (2016) - 2015
- [j1]Nina Tahmasebi, Lars Borin, Gabriele Capannini, Devdatt P. Dubhashi, Peter Exner, Markus Forsberg, Gerhard Gossen, Fredrik D. Johansson, Richard Johansson, Mikael Kågebäck, Olof Mogren, Pierre Nugues, Thomas Risse:
Visions and open challenges for a knowledge-based culturomics. Int. J. Digit. Libr. 15(2-4): 169-187 (2015) - [c9]Linus Hermansson, Fredrik D. Johansson, Osamu Watanabe:
Generalized Shortest Path Kernel on Graphs. Discovery Science 2015: 78-85 - [c8]Fredrik D. Johansson, Devdatt P. Dubhashi:
Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings. KDD 2015: 467-476 - [c7]Fredrik D. Johansson, Otto Frost, Carl Retzner, Devdatt P. Dubhashi:
Classifying Large Graphs with Differential Privacy. MDAI 2015: 3-17 - [c6]Mikael Kågebäck, Fredrik D. Johansson, Richard Johansson, Devdatt P. Dubhashi:
Neural context embeddings for automatic discovery of word senses. VS@HLT-NAACL 2015: 25-32 - [c5]Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya, Devdatt P. Dubhashi:
Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization. NIPS 2015: 1018-1026 - [i1]Linus Hermansson, Fredrik D. Johansson, Osamu Watanabe:
Generalized Shortest Path Kernel on Graphs. CoRR abs/1510.06492 (2015) - 2014
- [c4]Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya:
Global graph kernels using geometric embeddings. ICML 2014: 694-702 - 2013
- [c3]Linus Hermansson, Tommi Kerola, Fredrik Johansson, Vinay Jethava, Devdatt P. Dubhashi:
Entity disambiguation in anonymized graphs using graph kernels. CIKM 2013: 1037-1046 - [c2]Fredrik Johansson, Vinay Jethava, Devdatt P. Dubhashi:
DLOREAN: Dynamic Location-Aware Reconstruction of Multiway Networks. ICDM Workshops 2013: 1012-1019 - 2012
- [c1]Fredrik Johansson, Tobias Färdig, Vinay Jethava, Svetoslav Marinov:
Intent-aware temporal query modeling for keyword suggestion. PIKM 2012: 83-86
Coauthor Index
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last updated on 2023-05-21 01:24 CEST by the dblp team
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