About

Hi, I am Sebastian Tschiatschek and currently associate professor (tenured) of machine learning at the University of Vienna where I am leading the work group on Probabilistic and Interactive Machine Learning.

Before my current appointment I was a senior researcher in the Machine Learning and Perception Group (now All Data AI) at Microsoft Research Cambridge. Before joining Microsoft I was a postdoc in the Learning and Adaptive Systems Group at ETH Zurich led by Prof. Andreas Krause. Before joining ETH, I received a PhD from Graz University of Technology under supervision of Prof. Franz Pernkopf at the Signal and Speech Processing Laboratory.

My research interests include probabilistic models (with a focus on set-valued inputs and outputs), exploration and imitiaton in reinforcement learning, explainable AI, value alignment, and any form of interactive machine learning involving human beings.

News

Paper accepted at ECAI

Posted: July 2023

We are excited to announce that our paper “Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning” by Simon Rittel and Sebastian Tschiatschek has been accepted at the European Conference on Artificial Intelligence (ECAI 2023).

Have a look at our paper to learn how to incorporate prior knowledge about individual edges and causal dependencies in deep learning based Bayesian approaches to causal structure learning via the prior belief.

Congrats Simon!

Paper accepted at ECML/PKDD

Posted: June 2023

We are excited to announce that our paper “Posterior Consistency for Missing Data in Variational Autoencoders” by Timur Sudak and Sebastian Tschiatschek has been accepted at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML/PKDD 2023).

Have a look at our paper to learn how to regularize a variational autoencoder’s posterior in the face of missing data to achieve better performance.

Congrats Timur!

Paper accepted at ACM FAccT

Posted: April 2023

We are proud to announce that our paper “On the Impact of Explanations on Understanding of Algorithmic Decision-Making” by Timothée Schmude, Laura Koesten, Torsten Möller and Sebastian Tschiatschek has been accepted at this year’s ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT).

A preprint of our paper is available on here.

Congrats Tim!

Paper accepted at AAMAS

Posted: February 2023

Our paper “Learning Constraints From Human Stop-feedback in Reinforcement Learning” by Silvia Poletti, Alberto Testolin, and Sebastian Tschiatschek has been accepted for publication as an extended abstract in this year’s International Conference on Autonomous Agents and Multiagent Systems (AAMAS).

Congrats Sylvia!

Semesterfrage - "Was macht Digitalisierung mit der Demokratie?"

Posted: December 2022

I wrote an article for Der Standard about the influence of algorithms on our society and how explainable artifical intelligence might help us to evaluate them in democratic processes. You can find the article (in German) here. Make sure to leave a comment.

Panel discussion - Complex systems and their compatibility with democratic processes

Posted: October 2022

I was a panelist in the workshop on “Complex systems and their compatibility with democratic processes” organized by the Vienna Science and Technology Fund (WWTF) as part of the Digital Days 2022.

Further details can be found here.

Thanks for having me!

Paper accepted at IEEE TAI

Posted: August 2022

The paper “Replication Robust Payoff Allocation in Submodular Cooperative Games” by Han Dongge, Michael Wooldridge, Alex Rogers, Olga Ohrimenko, and Sebastian Tschiatschek has been accepted for publication in the IEEE Transactions on Artificial Intelligence.

Have a look at our paper if you want to learn more about payoff allocation in submodular cooperative games and their applications in machine learning data markets.

Congrats Dongge!

Paper Accepted at IJCAI'22

Posted: April 2022

One paper was accepted at IJCAI (long presentation):

  • Han Dongge, Sebastian Tschiatschek, “Option Transfer and SMDP Abstraction with Successor Features”

    Congrats Dongge!

Paper Accepted at EDM'22

Posted: April 2022

One paper was accepted at EDM:

  • Sebastian Tschiatschek, Maria Knobelsdorf, Adish Singla, “Equity and Fairness of Bayesian Knowledge Tracing”

Paper Accepted at IJCAI'21

Posted: April 2021

One paper was accepted at IJCAI:

  • Lukas Miklautz, Lena Greta-Marie Bauer, Dominik Mautz, Sebastian Tschiatschek, Christian Böhm, Claudia Plant, “Details (Don’t) Matter: Isolating Cluster Information in Deep Embedded Spaces”

    Congrats Lukas and Lena!

Tutorial at IJCAI

Posted: April 2021

Adish Singla and I will give a tutorial on Recent Advances in Reinforcement Learning for Human-AI Collaboration at this year’s IJCAI. Details will follow.

Workshop proposal accepted at ICML

Posted: April 2021

Our workshop on Human-AI Collaboration in Sequential Decision-Making was accepted at this year’s ICML. Please consider the call for papers.

Papers Accepted at AAAI and EAAI

Posted: January 2021

One paper was accepted at AAAI and one at EAAI:

  • Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, Jose Miguel Hernandez Lobato, Simon Peyton Jones, Richard Baraniuk, Cheng Zhang, “Educational Question Mining At Scale: Prediction, Analysis and Personalization”
  • Haiyan Yin, Jianda Chen, Sinno Pan, Sebastian Tschiatschek, “Sequential Generative Exploration Model for Partially Observable Reinforcement Learning”

Paper Accepted at NeurIPS

Posted: October 2020

One paper accepted at this year’s NeurIPS:

Lecture/Tutorial on Machine Learning

Posted: September 2020

New Preprints on Arxiv

Posted: June 2020

Two new preprints are available on arxiv:

Visual agents for augmenting people’s own capabilities

Posted: March 2020

Here’s an interesting article on a project I was involved in while being at Microsoft Research Cambridge: Link

New Affiliation

Posted: January 2020

I have joined the University of Vienna as assistant professor (tenure-track) of machine learning.

AAMAS 2020

Posted: January 2020

Our paper was accepted at AAMAS 2020:

ICLR 2020

Posted: December 2019

The following paper was accepted at ICLR 2020:

NeurIPS 2019

Posted: September 2019

We have four papers accepted at NeurIPS 2019!

Please check for updates of the papers from time to time as these are not yet the final versions.

ICML 2019

Posted: June 2019

We have one paper at the main conference and one paper in the Real-world Sequential Decision Making: Reinforcement Learning and Beyond workshop:

NeurIPS 2018

Posted: December 2018

We have one paper at the main conference and one paper in the deep reinforcement learning workshop: