Probabilistic Machine Learning

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Profiles

Tianyu Cui

tianyu.cui@aalto.fi

Professorship Kaski S. - Doctoral Candidate
School services, SCI
Probabilistic Machine Learning - Doctoral Candidate
Department of Computer Science - Doctoral Candidate

Person: Doctoral students, Doctoral studies

Pedram Daee

pedram.daee@aalto.fi

Professorship Kaski S. - Doctoral Candidate
Professorship Myllymäki P. (HIIT Director) - Doctoral Candidate
Helsinki Institute for Information Technology HIIT - Doctoral Candidate
Probabilistic Machine Learning - Doctoral Candidate
School services, SCI

Person: Doctoral students, Doctoral studies

Akash Dhaka

akash.dhaka@aalto.fi

Professorship Vehtari A. - Doctoral Candidate
Probabilistic Machine Learning - Doctoral Candidate
School services, SCI
Department of Computer Science - Doctoral Candidate

Person: Doctoral students, Doctoral studies

Research Output

Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation

Järvenpää, M., Vehtari, A. & Marttinen, P., 2020, (Accepted/In press) Conference on Uncertainty in Artificial Intelligence (UAI 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Deep Convolutional Gaussian Processes

Blomqvist, K., Kaski, S. & Heinonen, M., 1 Jan 2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Proceedings. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). SPRINGER , p. 582-597 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11907 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data

Vehtari, A., Gelman, A., Sivula, T., Jylanki, P., Tran, D., Sahai, S., Blomstedt, P., Cunningham, J. P., Schiminovich, D. & Robert, C. P., 2020, In : Journal of Machine Learning Research. 21, p. 1-53 53 p.

Research output: Contribution to journal › Article › Scientific › peer-review

Open Access

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