Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables. - Tomi Peltola; Pasi Jylänki; Aki Vehtari (AISTATS, 2014)

Hierarchical Bayesian Survival Analysis and Projective Covariate Selection in Cardiovascular Event Risk Prediction. - Tomi Peltola; Aki S. Havulinna; Veikko Salomaa; Aki Vehtari (BMA@UAI, 2014)

Interactive Prior Elicitation of Features Similarities for Small Sample Size Prediction. - Homayun Afrabandpey; Tomi Peltola; Samuel Kaski (CoRR, 2016)

Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. - Luana Micallef; Iiris Sundin; Pekka Marttinen; Muhammad Ammad-ud-din; Tomi Peltola; Marta Soare; Giulio Jacucci; Samuel Kaski (IUI, 2017)

Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression. - Pedram Daee; Tomi Peltola; Marta Soare; Samuel Kaski (IAL@PKDD/ECML, 2017)

Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction. - Homayun Afrabandpey; Tomi Peltola; Samuel Kaski (UMAP, 2017)

Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation. - Iiris Sundin; Tomi Peltola; Muntasir Mamun Majumder; Pedram Daee; Marta Soare; Homayun Afrabandpey; Caroline Heckman; Samuel Kaski; Pekka Marttinen (CoRR, 2017)

Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction. - Pedram Daee; Tomi Peltola; Marta Soare; Samuel Kaski (Mach. Learn., 2017)

Probabilistic Formulation of the Take The Best Heuristic. - Tomi Peltola; Jussi Jokinen; Samuel Kaski (CogSci, 2018)

User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. - Pedram Daee; Tomi Peltola; Aki Vehtari; Samuel Kaski (IUI, 2018)

Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. - Iiris Sundin; Tomi Peltola; Luana Micallef; Homayun Afrabandpey; Marta Soare; Muntasir Mamun Majumder; Pedram Daee; Chen He 003; Baris Serim; Aki S. Havulinna; Caroline Heckman; Giulio Jacucci; et al. (Bioinform., 2018)

Modelling User's Theory of AI's Mind in Interactive Intelligent Systems. - Tomi Peltola; Mustafa Mert Çelikok; Pedram Daee; Samuel Kaski (CoRR, 2018)

Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections. - Tomi Peltola (CoRR, 2018)

Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. - Homayun Afrabandpey; Tomi Peltola; Samuel Kaski (IJCAI, 2019)

Machine Teaching of Active Sequential Learners. - Tomi Peltola; Mustafa Mert Çelikok; Pedram Daee; Samuel Kaski (NeurIPS, 2019)

Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach. - Homayun Afrabandpey; Tomi Peltola; Juho Piironen; Aki Vehtari; Samuel Kaski (CoRR, 2019)

Interactive AI with a Theory of Mind. - Mustafa Mert Çelikok; Tomi Peltola; Pedram Daee; Samuel Kaski (CoRR, 2019)

A decision-theoretic approach for model interpretability in Bayesian framework. - Homayun Afrabandpey; Tomi Peltola; Juho Piironen; Aki Vehtari; Samuel Kaski (Mach. Learn., 2020)