Fredrik D. Johansson

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 48

Top Topics

Privileged Information

Invariant Representations

Top Venues

Trans. Mach. Learn. Res.

Publications

Fredrik D. Johansson
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark. CoRR (2024)
Ahmet Zahid Balcioglu, Emil Carlsson, Fredrik D. Johansson
Identifiable latent bandits: Combining observational data and exploration for personalized healthcare. CoRR (2024)
Lena Stempfle, Fredrik D. Johansson
MINTY: Rule-based models that minimize the need for imputing features with missing values. AISTATS (2024)
Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi
Pure Exploration in Bandits with Linear Constraints. AISTATS (2024)
Herman Bergström, Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
Active Preference Learning for Ordering Items In- and Out-of-sample. CoRR (2024)
Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi
Pure Exploration in Bandits with Linear Constraints. CoRR (2023)
Adam Breitholtz, Anton Matsson, Fredrik D. Johansson
Unsupervised domain adaptation by learning using privileged information. CoRR (2023)
Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson
Sharing Pattern Submodels for Prediction with Missing Values. AAAI (2023)
Lena Stempfle, Fredrik D. Johansson
MINTY: Rule-based Models that Minimize the Need for Imputing Features with Missing Values. CoRR (2023)
Adam Breitholtz, Fredrik D. Johansson
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks. CoRR (2023)
Markus B. Pettersson, Mohammad Kakooei, Julia Ortheden, Fredrik D. Johansson, Adel Daoud
Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa. IJCAI (2023)
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)
Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica
Off-Policy Evaluation with Out-of-Sample Guarantees. Trans. Mach. Learn. Res. 2023 (2023)
Connor T. Jerzak, Fredrik D. Johansson, Adel Daoud
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities. CoRR (2023)
Adam Breitholtz, Fredrik D. Johansson
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks. Trans. Mach. Learn. Res. 2022 (2022)
Newton Mwai Kinyanjui, Fredrik D. Johansson
ADCB: An Alzheimer's disease simulator for benchmarking observational estimators of causal effects. CHIL (2022)
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 (2022)
Anton Matsson, Fredrik D. Johansson
Case-based off-policy evaluation using prototype learning. UAI (2022)
Bastian Jung, Fredrik D. Johansson
Efficient learning of nonlinear prediction models with time-series privileged information. NeurIPS (2022)
Fredrik D. Johansson, Uri Shalit, Nathan Kallus, David A. Sontag
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects. J. Mach. Learn. Res. 23 (2022)
Bastian Jung, Fredrik D. Johansson
Efficient learning of nonlinear prediction models with time-series privileged information. CoRR (2022)
Anton Matsson, Fredrik D. Johansson
Case-based off-policy policy evaluation using prototype learning. CoRR (2021)
Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
Thompson Sampling for Bandits with Clustered Arms. IJCAI (2021)
Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
Learning Approximate and Exact Numeral Systems via Reinforcement Learning. CoRR (2021)
Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
Learning Approximate and Exact Numeral Systems via Reinforcement Learning. CogSci (2021)
Rickard Karlsson, Martin Willbo, Zeshan Hussain, Rahul G. Krishnan, David A. Sontag, Fredrik D. Johansson
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models. CoRR (2021)
Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson
Thompson Sampling for Bandits with Clustered Arms. CoRR (2021)
Newton Mwai Kinyanjui, Fredrik D. Johansson
ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects. CoRR (2021)
Fredrik D. Johansson, Uri Shalit, Nathan Kallus, David A. Sontag
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects. CoRR (2020)
Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag
Estimation of Bounds on Potential Outcomes For Decision Making. ICML (2020)
Michael Oberst, Fredrik D. Johansson, Dennis Wei, Tian Gao, Gabriel Brat, David A. Sontag, Kush R. Varshney
Characterization of Overlap in Observational Studies. AISTATS (2020)
Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson
Learning to search efficiently for causally near-optimal treatments. CoRR (2020)
Samuel Håkansson, Viktor Lindblom, Omer Gottesman, Fredrik D. Johansson
Learning to search efficiently for causally near-optimal treatments. NeurIPS (2020)
Nils M. Kriege, Fredrik D. Johansson, Christopher Morris
A survey on graph kernels. Appl. Netw. Sci. 5 (1) (2020)
Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag
Estimation of Utility-Maximizing Bounds on Potential Outcomes. CoRR (2019)
Fredrik D. Johansson, David A. Sontag, Rajesh Ranganath
Support and Invertibility in Domain-Invariant Representations. CoRR (2019)
Fredrik D. Johansson, David A. Sontag, Rajesh Ranganath
Support and Invertibility in Domain-Invariant Representations. AISTATS (2019)
Nils M. Kriege, Fredrik D. Johansson, Christopher Morris
A Survey on Graph Kernels. CoRR (2019)
Fredrik D. Johansson, Dennis Wei, Michael Oberst, Tian Gao, Gabriel Brat, David A. Sontag, Kush R. Varshney
Characterization of Overlap in Observational Studies. CoRR (2019)
Fredrik D. Johansson
Machine Learning Analysis of Heterogeneity in the Effect of Student Mindset Interventions. CoRR (2018)
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 (2018)
Irene Y. Chen, Fredrik D. Johansson, David A. Sontag
Why Is My Classifier Discriminatory? NeurIPS (2018)
Irene Y. Chen, Fredrik D. Johansson, David A. Sontag
Why Is My Classifier Discriminatory? CoRR (2018)
Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. ICML (2017)
Uri Shalit, Fredrik D. Johansson, David A. Sontag
Estimating individual treatment effect: generalization bounds and algorithms. ICML (2017)
Uri Shalit, Fredrik D. Johansson, David A. Sontag
Bounding and Minimizing Counterfactual Error. CoRR (2016)
Fredrik D. Johansson, Uri Shalit, David A. Sontag
Learning Representations for Counterfactual Inference. CoRR (2016)
Fredrik D. Johansson, Uri Shalit, David A. Sontag
Learning Representations for Counterfactual Inference. ICML (2016)
Mikael Kågebäck, Fredrik D. Johansson, Richard Johansson, Devdatt P. Dubhashi
Neural context embeddings for automatic discovery of word senses. VS@HLT-NAACL (2015)
Linus Hermansson, Fredrik D. Johansson, Osamu Watanabe
Generalized Shortest Path Kernel on Graphs. CoRR (2015)
Fredrik D. Johansson, Otto Frost, Carl Retzner, Devdatt P. Dubhashi
Classifying Large Graphs with Differential Privacy. MDAI (2015)
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) (2015)
Linus Hermansson, Fredrik D. Johansson, Osamu Watanabe
Generalized Shortest Path Kernel on Graphs. Discovery Science (2015)
Fredrik D. Johansson, Devdatt P. Dubhashi
Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings. KDD (2015)
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)
Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya
Global graph kernels using geometric embeddings. ICML (2014)