Fakultät für Informatik

Assoz. Prof. Dipl.-Ing. Dr.techn. Sebastian Tschiatschek, BSc

Sebastian Tschiatschek
Forschungsgruppe Data Mining and Machine Learning
stv. Leiter
Währinger Straße 29
1090 Wien
Raum : 4.40
T: +43-1-4277-79511
sebastian.tschiatschek(at)univie.ac.at
Persönliche Homepage
u:cris-Portal

Lehrveranstaltungen

Publikationen

Contextual HyperNetworks for Novel Feature Adaptation. / Tschiatschek, Sebastian; Lamb, Angus; Saveliev, Evgeny et al.
arXiv.org, 2021.

Veröffentlichungen: Working Paper

Information Directed Reward Learning for Reinforcement Learning. / Tschiatschek, Sebastian; Lindner, David; Turchetta, Matteo et al.
arXiv.org, 2021.

Veröffentlichungen: Working Paper › Preprint

Educational Question Mining At Scale: Prediction, Analysis and Personalization. / Wang, Zichao; Tschiatschek, Sebastian; Woodhead, Simon et al.
Proceedings of the AAAI Conference on Artificial Intelligence. Band 35 AAAI Press, 2021. S. 15669-15677.

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces. / Miklautz, Lukas; Bauer, Lena; Mautz, Dominik et al.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21): Montreal, 19-27 August 2021. Hrsg. / Zhi-Hua Zhou. International Joint Conferences on Artificial Intelligence, 2021. S. 2826-2832.

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

doi.org/10.24963/ijcai.2021/389

Reinforcement Learning with Efficient Active Feature Acquisition. / Yin, Haiyan; Li, Yingzhen; Pan , Sinno Jialin et al.
arXiv.org, 2020.

Veröffentlichungen: Working Paper

A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions. / Chien, Isabel; Enrique, Angel; Palacios, Jorge et al.
in: JAMA Network Open, Band 3, Nr. 7, e2010791, 17.07.2020.

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

doi.org/10.1001/jamanetworkopen.2020.10791

Replication-Robust Payoff-Allocation for Machine Learning Data Markets. / Han, Dongge; Wooldridge, Michael; Rogers, Alex et al.
arXiv.org, 2020.

Veröffentlichungen: Working Paper

AMRL: Aggregated Memory For Reinforcement Learning. / Beck, Jacob; Ciosek, Kamil; Devlin, Sam et al.
2020.

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data. / Ma, Chao; Tschiatschek, Sebastian; Hernandez-Lobato, Jose Miguel et al.
2020.

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies. / Ghosh, Ahana; Tschiatschek, Sebastian; Mahdavi, Hamed et al.
2020. 447-455 Beitrag in AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems, Auckland, Neuseeland.

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

31 - 40 von 42

Projekte

Interpretability and Explainability as Drivers to Democracy

Tschiatschek, Sebastian (Projektleiter*in), Möller, Torsten (Co-Projektleiter*in), Coeckelbergh, Mark (Co-Projektleiter*in)
01/10/2021 30/09/2026
Laufend

Vorträge

Considering Respondents’ Preferences: The Effects of Self-Selecting the Content in Web Survey Questionnaires

Katharina Pfaff , Sylvia Kritzinger , Sebastian Tschiatschek , Daniel Weitzel
Wahlstudientreffen DACH 2024
Konferenz, Vortrag
15.3.2024

Automated Split Questionnaire Design: The Way Forward in Survey Research?

Katharina Pfaff , Sylvia Kritzinger , Sebastian Tschiatschek , Daniel Weitzel
General Online Research Conference (GOR) 2023
Konferenz, Vortrag
21.9.2023

Automated Split Questionnaire Design: The Way Forward in Survey Research?

Katharina Pfaff , Sylvia Kritzinger , Sebastian Tschiatschek , Daniel Weitzel
WAPOR
Konferenz, Vortrag
20.9.2023

Machine Learning for Neural Imaging

Sebastian Tschiatschek
Pattern Recognition in Neuroimaging (PRNI) - Virtual Summer School 2020
Summer/Winter School, Vortrag
14.9.2020