In our bi-weekly research colloquium, we aim at widening our view of different research directions in machine learning and artificial intelligence, multi-agent systems, network optimization, and other tightly related fields. Besides the talks given by the group members, we are glad to invite other scientists to explain their research and share their views.
Our bi-weekly colloquium is held online via Zoom. If you are interested in giving a talk or attending one, please email Prof. Setareh Maghsudi.


05.05.2023
Probabilistic Numerics

Emilia Magnani, University of Tübingen, Germany

21.04.2023
Multi-Armed Bandits

Saeed Ghoorchian, M.Sc., University of Tübingen

07.04.2023
Easter Holiday
24.03.2023
Winter Break
10.03.2023
Algorithmic Recourse

Ahmadreza Ehyaei, M.Sc., University of Tübingen, Germany

24.02.2023
Distributed Online Clustering of Bandit via Hedonic Game

Xiaoting Cheng, M.Sc., Cheng Pan, M.Sc., University of Tübingen, Germany

10.02.2023
Bayesian Persuasion in Algorithmic Recourse

Keegan Harris, M.Sc., Carnegie Mellon University, USA

27.01.2023
Meta-Learning in Bandits

Steven Bilaj, M.Sc., University of Tübingen, Germany

13. 01. 2023
Meta-Learning in Games

Keegan Harris, M.Sc., and Ioannis Anagnostides, M.Sc., Carnegie Mellon University, USA

30. 12. 2022
Fall Break
16. 12. 2022
Competitive Influence Maximization

Sukankana Chakraborty, Ph.D., University of Southampton, UK

02. 12. 2022
Uncertainty Representation and Learning

Vu-Linh Nguyen, Ph.D., Eindhoven University of Technology, Netherlands

18. 11. 2022
Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards

Behzad Nourani Koliji, M.Sc., University of Tübingen, Germany

04. 11. 2022
Meta-Learning with Provable Guarantees

Mikhail Khodak, M.Sc., Carnegie Mellon University, USA

21. 10. 2022
Direct Advantage Estimation

Hsiao-Ru Pan, M.Sc., Max-Planck-Institute for Intelligent Systems, Germany

07. 10. 2022
On the Adversarial Robustness of Causal Algorithmic Recourse

Ricardo Dominguez Olmedo, M.Sc., Max-Plank-Institute for Intelligent Systems

23. 09. 2022
Easy Regularization on Representation Can Boost Deep Reinforcement Learning

Qiang He, M.Sc., University of Tübingen, Germany

09. 09. 2022
Piecewise Stationary Multi-armed Bandits with Costly Information Acquisition

Saeed Ghoorchian, M.Sc., University of Tübingen, Germany

26.08.2022
Summer Break
12.08.2022
Learning and Planning Under Uncertainty for Wildlife Conservation

Lily Xu, M.Sc., Harvard University, USA

29.07.2022
Deep End-to-end Causal Inference

Chao Ma, Ph.D., Microsoft Research Cambridge, UK

15.07.2022
Distributed Consensus Algorithm for Change Point Detection in Multi-agent Multi-armed Bandit

Xiaotong Cheng, M.Sc., University of Tübingen, Germany

17.06.2022
Application of Reinforcement Learning Methods in Developing Mathematical Conjectures

Prof. Maurizio Parto, Ph.D., University of Chieti-Pescara, Italy

03.06.2022
Inverse Reinforcement Learning in a Learning Multi-Agent System

Francesco Chini, Ph.D., University of Tübingen

20.05.2022
Bayesian Best-Arm Identification

Prof. Rianne de Heide, Ph.D., Vrije Universiteit Amsterdam, Netherlands

06.05.2022
A Bandit Model for Human-Machine Decision Making with Private Information and Opacity

Sebastian Bordt, M.Sc., University of Tübingen

22.04.2022
Resource Allocation with Delayed Feedback

Ian Liu, M.Sc., Kyushu University, Japan

08.04.2022
Spring Break
25.03.2022
Directional Learning in Human

Grigory Chernov, M.Sc., Higher School of Economics, Russia

11.03.2022
Joint Human AI Decision Making

Mr. Michael Cohen, University of Oxford, UK

25.02.2022
Multi-Source Domain Adaptation

Mr. Steven Bilaj, University of Tübingen, Germany

11.02.2022
Distributed Sparse Feature Selection in Communication-Restricted Networks

Ms. Hanieh Barghi, Sharif University of Technology, Iran

28.01.2022
Provably Efficient Learning of Transferable Rewards

Giorgia Ramponi, Ph.D., ETH Zürich

14.01.2022
Distributed Task Management under Uncertainty in Fog Computing

Ms. Xiaotong Cheng, University of Tübingen, Germany

31.12.2021
Fall Break
17.12.2021
Bayesian Optimization

Prof. Quoc Phong Nguyen, Ph.D., Singapore Management University

03.12.2021
An introduction to Causal Inference

Dr. Krikamol Muandet, Max-Planck-Institute of Intelligent Systems, Germany

19.11.2021
Linear Combinatorial Semi-Bandit with Causally Related Rewards

Behzad Nourani Koliji, M.Sc., University of Tübingen, Germany

05.11.2021
Inverse Reinforcement Learning

Prof. Mai Anh Tien, Ph.D., Singapore Management University

22.10.2021
A Brief Introduction of Scrum Project Management Methodology

Meldoi Caliskan, M.Sc., University of Tübingen, Germany

08.10.2021
Communication-Aware and Decentralized Strategic Learning in Networked Multiagent Systems

Prof. Ceyhun Eskin, Ph.D., Texas A&M University, USA

26. 03. 2021
Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum

Alireza Javanmardi, M.Sc., University of Tübingen, Germany

24.09.2021
Learning Estimation for Nonlinear Models in Educational Applications

Prof. Andrew Lan, Ph.D., University of Massachusetts, USA

10. 09. 2021
Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms

Prof. Ievgen Redko, Ph.D., University Jean Monnet of Saint-Etienne, France

27. 08. 2021
Multi-Task Cooperative Formation Control of Autonomous Surface Vehicles

Xiaotong Chenge, M.Sc., University of Tübingen, Germany

13. 08. 2021
Summer Break
30. 07. 2021
Introduction to Online Clustering

Melodi Caliskan, M.Sc., Bogazici University, Turkey

16. 07. 2021
Introduction to Submodular Optimization

Ehsan Kazemi, Ph.D., Google Inc., Switzerland

02. 07. 2021
Introduction to Federated Learning

Felix Sattler, M.Sc., Fraunhofer HHI, Germany

18. 06. 2021
Over the Air Computation

Mathias Frey, M.Sc., Technical University of Berlin, Germany

04. 06. 2021
Data-Driven Online Decision-Making with Costly Information Acquisition

Saeed Ghoorchian, M.Sc., Technical University of Berlin, Germany

21. 05. 2021
Introduction to Domain Adaptation

Sofiane Dhoiub, Ph.D., University of Tübingen, Germany

07. 05. 2021
Spring Break
23. 04. 2021
Joint Coverage and Resource Allocation for Federated Learning in UAV-Enabled Networks

Mariam Yahya, M.Sc., University of Tübingen, Germany

09. 04. 2021
Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks With Uncertainty

Saeed Ghoorchian, M.Sc., Technical University of Berlin, Germany