A decision-theoretic approach for model interpretability in Bayesian framework.

Tomi Peltola

Homayun Afrabandpey Tomi Peltola Juho Piironen Aki Vehtari Samuel Kaski A decision-theoretic approach for model interpretability in Bayesian framework. 1855-1876 2020 109 Mach. Learn. 9-10 https://doi.org/10.1007/s10994-020-05901-8 db/journals/ml/ml109.html#AfrabandpeyPPVK20

Homayun Afrabandpey Tomi Peltola Samuel Kaski Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. 2019 IJCAI https://doi.org/10.24963/ijcai.2019/271 conf/ijcai/2019 db/conf/ijcai/ijcai2019.html#AfrabandpeyPK19 1959-1966 Tomi Peltola Mustafa Mert Çelikok Pedram Daee Samuel Kaski Machine Teaching of Active Sequential Learners. 11202-11213 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/b98a3773ecf715751d3cf0fb6dcba424-Abstract.html http://papers.nips.cc/paper/9299-machine-teaching-of-active-sequential-learners conf/nips/2019 db/conf/nips/nips2019.html#PeltolaCDK19

Homayun Afrabandpey Tomi Peltola Samuel Kaski Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets. 2019 abs/1902.09834 CoRR http://arxiv.org/abs/1902.09834 db/journals/corr/corr1902.html#abs-1902-09834

Homayun Afrabandpey Tomi Peltola Juho Piironen Aki Vehtari Samuel Kaski Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach. 2019 abs/1910.09358 CoRR http://arxiv.org/abs/1910.09358 db/journals/corr/corr1910.html#abs-1910-09358

Tomi Peltola Jussi Jokinen Samuel Kaski Probabilistic Formulation of the Take The Best Heuristic. 2019 abs/1911.00572 CoRR http://arxiv.org/abs/1911.00572 db/journals/corr/corr1911.html#abs-1911-00572

Mustafa Mert Çelikok Tomi Peltola Pedram Daee Samuel Kaski Interactive AI with a Theory of Mind. 2019 abs/1912.05284 CoRR http://arxiv.org/abs/1912.05284 db/journals/corr/corr1912.html#abs-1912-05284

Iiris Sundin Tomi Peltola Luana Micallef Homayun Afrabandpey Marta Soare Muntasir Mamun Majumder Pedram Daee Chen He 0003 Baris Serim Aki S. Havulinna Caroline Heckman Giulio Jacucci Pekka Marttinen Samuel Kaski Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. i395-i403 2018 34 Bioinform. 13 https://doi.org/10.1093/bioinformatics/bty257 https://www.wikidata.org/entity/Q55429209 db/journals/bioinformatics/bioinformatics34.html#SundinPMASMDHSH18

Tomi Peltola Jussi Jokinen Samuel Kaski Probabilistic Formulation of the Take The Best Heuristic. 2018 CogSci https://escholarship.org/uc/item/3r0053q9 conf/cogsci/2018 db/conf/cogsci/cogsci2018.html#PeltolaJK18 Pedram Daee Tomi Peltola Aki Vehtari Samuel Kaski User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. 305-310 2018 IUI https://doi.org/10.1145/3172944.3172989 conf/iui/2018 db/conf/iui/iui2018.html#DaeePVK18

Tomi Peltola Mustafa Mert Çelikok Pedram Daee Samuel Kaski Modelling User's Theory of AI's Mind in Interactive Intelligent Systems. 2018 abs/1809.02869 CoRR http://arxiv.org/abs/1809.02869 db/journals/corr/corr1809.html#abs-1809-02869

Tomi Peltola Local Interpretable Model-agnostic Explanations of Bayesian Predictive Models via Kullback-Leibler Projections. 2018 abs/1810.02678 CoRR http://arxiv.org/abs/1810.02678 db/journals/corr/corr1810.html#abs-1810-02678

Pedram Daee Tomi Peltola Marta Soare Samuel Kaski Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction. 1599-1620 2017 106 Mach. Learn. 9-10 https://doi.org/10.1007/s10994-017-5651-7 https://www.wikidata.org/entity/Q59513038 db/journals/ml/ml106.html#DaeePSK17

Luana Micallef Iiris Sundin Pekka Marttinen Muhammad Ammad-ud-din Tomi Peltola Marta Soare Giulio Jacucci Samuel Kaski Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. 547-552 2017 IUI https://doi.org/10.1145/3025171.3025181 https://www.wikidata.org/entity/Q59589283 conf/iui/2017 db/conf/iui/iui2017.html#MicallefSMAPSJK17 Pedram Daee Tomi Peltola Marta Soare Samuel Kaski Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression. 64-66 2017 IAL@PKDD/ECML https://ceur-ws.org/Vol-1924/ialatecml_paper7.pdf conf/pkdd/2017ial db/conf/pkdd/ial2017.html#DaeePSK17 Homayun Afrabandpey Tomi Peltola Samuel Kaski Interactive Prior Elicitation of Feature Similarities for Small Sample Size Prediction. 265-269 2017 UMAP https://doi.org/10.1145/3079628.3079698 conf/um/2017 db/conf/um/umap2017.html#AfrabandpeyPK17

Iiris Sundin Tomi Peltola Muntasir Mamun Majumder Pedram Daee Marta Soare Homayun Afrabandpey Caroline Heckman Samuel Kaski Pekka Marttinen Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation. 2017 abs/1705.03290 CoRR http://arxiv.org/abs/1705.03290 db/journals/corr/corr1705.html#SundinPMDSAHKM17

Pedram Daee Tomi Peltola Aki Vehtari Samuel Kaski User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. 2017 abs/1710.04881 CoRR http://arxiv.org/abs/1710.04881 db/journals/corr/corr1710.html#abs-1710-04881

Luana Micallef Iiris Sundin Pekka Marttinen Muhammad Ammad-ud-din Tomi Peltola Marta Soare Giulio Jacucci Samuel Kaski Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets. 2016 abs/1612.02487 CoRR http://arxiv.org/abs/1612.02487 db/journals/corr/corr1612.html#MicallefSMAPSJK16

Homayun Afrabandpey Tomi Peltola Samuel Kaski Interactive Prior Elicitation of Features Similarities for Small Sample Size Prediction. 2016 abs/1612.02802 CoRR http://arxiv.org/abs/1612.02802 db/journals/corr/corr1612.html#AfrabandpeyPK16

Pedram Daee Tomi Peltola Marta Soare Samuel Kaski Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction. 2016 abs/1612.03328 CoRR http://arxiv.org/abs/1612.03328 db/journals/corr/corr1612.html#DaeePSK16

Tomi Peltola Pasi Jylänki Aki Vehtari Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables. 769-777 2014 AISTATS http://proceedings.mlr.press/v33/peltola14.html conf/aistats/2014 db/conf/aistats/aistats2014.html#PeltolaJV14 Tomi Peltola Aki S. Havulinna Veikko Salomaa Aki Vehtari Hierarchical Bayesian Survival Analysis and Projective Covariate Selection in Cardiovascular Event Risk Prediction. 79-88 2014 BMA@UAI https://ceur-ws.org/Vol-1218/bmaw2014_paper_8.pdf conf/uai/2014bma db/conf/uai/bma2014.html#PeltolaHSV14 Homayun Afrabandpey Muhammad Ammad-ud-din Mustafa Mert Çelikok Pedram Daee Aki S. Havulinna Chen He 0003 Caroline Heckman Giulio Jacucci Jussi P. P. JokinenJussi Jokinen Pasi Jylänki Samuel Kaski Muntasir Mamun Majumder Pekka Marttinen Luana Micallef Juho Piironen Veikko Salomaa Baris Serim Marta Soare Iiris Sundin Aki Vehtari