Pensar, Johan

8 publications

UAI 2025 Causal Inference amid Missingness-Specific Independences and Mechanism Shifts Johan Aguas, Leonard Henckel, Johan Pensar, Guido Biele

CLeaR 2025 The Probability of Tiered Benefit: Partial Identification with Robust and Stable Inference Johan Aguas, Sebastian Krumscheid, Johan Pensar, Guido Biele

ICML 2024 Incorporating Probabilistic Domain Knowledge into Deep Multiple Instance Learning Ghadi S. Al Hajj, Aliaksandr Hubin, Chakravarthi Kanduri, Milena Pavlovic, Knut Dagestad Rand, Michael Widrich, Anne Schistad Solberg, Victor Greiff, Johan Pensar, Günter Klambauer, Geir Kjetil Sandve

ICMLW 2022 Using Causal Modeling to Analyze Generalization of Biomarkers in High-Dimensional Domains: A Case Study of Adaptive Immune Repertoires Milena Pavlovic, Ghadi S. Al Hajj, Victor Greiff, Johan Pensar, Geir Kjetil Sandve

AAAI 2020 A Bayesian Approach for Estimating Causal Effects from Observational Data Johan Pensar, Topi Talvitie, Antti Hyttinen, Mikko Koivisto

NeurIPS 2020 Towards Scalable Bayesian Learning of Causal DAGs Jussi Viinikka, Antti Hyttinen, Johan Pensar, Mikko Koivisto

PGM 2018 Structure Learning for Bayesian Networks over Labeled DAGs Antti Hyttinen, Johan Pensar, Juha Kontinen, Jukka Corander

NeurIPS 2013 Learning Chordal Markov Networks by Constraint Satisfaction Jukka Corander, Tomi Janhunen, Jussi Rintanen, Henrik Nyman, Johan Pensar