Eero Siivola

Doctoral Candidate, Professorship Vehtari Aki
Doctoral Candidate, Helsinki Institute for Information Technology (HIIT)
Doctoral Candidate, Probabilistic Machine Learning
School services, SCI

Research activity per year

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Personal profile

Education/Academic qualification

Master of Science (Technology), Automation Engineering, Aalto-yliopisto

Award Date: 15 Feb 2016

Bachelor of Science (Technology), Automation Engineering, Aalto-yliopisto

Award Date: 15 Dec 2014

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6 Conference contribution
1 Abstract
1 Article

Qualifying drug dosing regimens in pediatrics using Gaussian processes
Siivola, E., Weber, S. & Vehtari, A., 15 Feb 2021, In : STATISTICS IN MEDICINE. 18 p.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
Active Learning for Decision-Making from Imbalanced Observational Data
Sundin, I., Schulam, P., Siivola, E., Vehtari, A., Saria, S. & Kaski, S., 2019, 36th International Conference on Machine Learning, ICML 2019. p. 10578-10587 10 p. (Proceedings of Machine Learning Research; vol. 97).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Open Access
File
21 Downloads (Pure)
Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations
Siivola, E., Vehtari, A., Vanhatalo, J., Gonzalez, J. & Andersen, M., 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) . IEEE, p. 1-6 6 p. 8516936. (Machine learning for signal processing ).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Open Access
1 Citation (Scopus)
Using counterfactual queries to improve models for decision-support
Sundin, I., Schulam, P., Siivola, E., Vehtari, A., Saria, S. & Kaski, S., 2018.
Research output: Contribution to conference › Abstract › Scientific › peer-review
Bayesian optimization of unimodal functions
Andersen, M. R., Siivola, E. & Vehtari, A., 2017, NIPS Workshop on Bayesian Optimization : BayesOpt 2017.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific

Open Access

1 Finished

Computational methods for survival analysis
Vehtari, A., Andersen, M., Dhaka, A., Siivola, E., Sivula, T., Säilynoja, T., Paananen, T. & Magnusson, M.
01/09/2016 → 31/08/2020
Project: Academy of Finland: Other research funding

1 Membership of an organizing committee or other positions of trust of a conference or a seminar

StanCon
Eero Siivola (Member)
29 Aug 2018 → 31 Aug 2018
Activity: Participating in or organising an event types › Membership of an organizing committee or other positions of trust of a conference or a seminar

Education/Academic qualification

Qualifying drug dosing regimens in pediatrics using Gaussian processes

Active Learning for Decision-Making from Imbalanced Observational Data

Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations

Using counterfactual queries to improve models for decision-support

Bayesian optimization of unimodal functions

Computational methods for survival analysis

StanCon