| 2025 | ICML | Prediction models that learn to avoid missing values. | Lena Stempfle, Anton Matsson, Newton Mwai Kinyanjui, Fredrik D. Johansson |
| 2024 | AISTATS | Pure Exploration in Bandits with Linear Constraints. | Emil Carlsson, Debabrota Basu, Fredrik D. Johansson, Devdatt P. Dubhashi |
| 2024 | AISTATS | MINTY: Rule-based models that minimize the need for imputing features with missing values. | Lena Stempfle, Fredrik D. Johansson |
| 2023 | AAAI | Sharing Pattern Submodels for Prediction with Missing Values. | Lena Stempfle, Ashkan Panahi, Fredrik D. Johansson |
| 2023 | IJCAI | Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa. | Markus B. Pettersson, Mohammad Kakooei, Julia Ortheden, Fredrik D. Johansson, Adel Daoud |
| 2022 | UAI | Case-based off-policy evaluation using prototype learning. | Anton Matsson, Fredrik D. Johansson |
| 2021 | CogSci | Learning Approximate and Exact Numeral Systems via Reinforcement Learning. | Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson |
| 2021 | IJCAI | Thompson Sampling for Bandits with Clustered Arms. | Emil Carlsson, Devdatt P. Dubhashi, Fredrik D. Johansson |
| 2020 | AISTATS | Characterization of Overlap in Observational Studies. | Michael Oberst, Fredrik D. Johansson, Dennis Wei, Tian Gao, Gabriel A. Brat, David A. Sontag, Kush R. Varshney |
| 2020 | ICML | Estimation of Bounds on Potential Outcomes For Decision Making. | Maggie Makar, Fredrik D. Johansson, John V. Guttag, David A. Sontag |
| 2019 | AISTATS | Support and Invertibility in Domain-Invariant Representations. | Fredrik D. Johansson, David A. Sontag, Rajesh Ranganath |
| 2017 | ICML | Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery. | Ashkan Panahi, Devdatt P. Dubhashi, Fredrik D. Johansson, Chiranjib Bhattacharyya |
| 2017 | ICML | Estimating individual treatment effect: generalization bounds and algorithms. | Uri Shalit, Fredrik D. Johansson, David A. Sontag |
| 2016 | ICML | Learning Representations for Counterfactual Inference. | Fredrik D. Johansson, Uri Shalit, David A. Sontag |
| 2015 | DIS | Generalized Shortest Path Kernel on Graphs. | Linus Hermansson, Fredrik D. Johansson, Osamu Watanabe |
| 2015 | KDD | Learning with Similarity Functions on Graphs using Matchings of Geometric Embeddings. | Fredrik D. Johansson, Devdatt P. Dubhashi |
| 2015 | MDAI | Classifying Large Graphs with Differential Privacy. | Fredrik D. Johansson, Otto Frost, Carl Retzner, Devdatt P. Dubhashi |
| 2015 | NAACL | Neural context embeddings for automatic discovery of word senses. | Mikael Kgebck, Fredrik D. Johansson, Richard Johansson, Devdatt P. Dubhashi |
| 2014 | ICML | Global graph kernels using geometric embeddings. | Fredrik D. Johansson, Vinay Jethava, Devdatt P. Dubhashi, Chiranjib Bhattacharyya |