Probabilistic Numerics

Emilia Magnani, University of Tübingen, Germany

Multi-Armed Bandits

Saeed Ghoorchian, M.Sc., University of Tübingen

Easter Holiday

Winter Break

Algorithmic Recourse

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

Distributed Online Clustering of Bandit via Hedonic Game

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

Bayesian Persuasion in Algorithmic Recourse

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

Meta-Learning in Bandits

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

Meta-Learning in Games

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

Fall Break

Competitive Influence Maximization

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

Uncertainty Representation and Learning

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

Piecewise-Stationary Combinatorial Semi-Bandit with Causally Related Rewards

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

Meta-Learning with Provable Guarantees

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

Direct Advantage Estimation

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

On the Adversarial Robustness of Causal Algorithmic Recourse

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

Easy Regularization on Representation Can Boost Deep Reinforcement Learning

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

Piecewise Stationary Multi-armed Bandits with Costly Information Acquisition

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

Summer Break

Learning and Planning Under Uncertainty for Wildlife Conservation

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

Deep End-to-end Causal Inference

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

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

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

Application of Reinforcement Learning Methods in Developing Mathematical Conjectures

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

Inverse Reinforcement Learning in a Learning Multi-Agent System

Francesco Chini, Ph.D., University of Tübingen

Bayesian Best-Arm Identification

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

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

Sebastian Bordt, M.Sc., University of Tübingen

Resource Allocation with Delayed Feedback

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

Spring Break

Directional Learning in Human

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

Joint Human AI Decision Making

Mr. Michael Cohen, University of Oxford, UK

Multi-Source Domain Adaptation

Mr. Steven Bilaj, University of Tübingen, Germany

Distributed Sparse Feature Selection in Communication-Restricted Networks

Ms. Hanieh Barghi, Sharif University of Technology, Iran

Provably Efficient Learning of Transferable Rewards

Giorgia Ramponi, Ph.D., ETH Zürich

Distributed Task Management under Uncertainty in Fog Computing

Ms. Xiaotong Cheng, University of Tübingen, Germany

Fall Break

Bayesian Optimization

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

An introduction to Causal Inference

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

Linear Combinatorial Semi-Bandit with Causally Related Rewards

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

Inverse Reinforcement Learning

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

A Brief Introduction of Scrum Project Management Methodology

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

Communication-Aware and Decentralized Strategic Learning in Networked Multiagent Systems

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

Decentralized Dynamic Rate and Channel Selection Over a Shared Spectrum

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

Learning Estimation for Nonlinear Models in Educational Applications

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

Putting Theory to Work: From Learning Bounds to Meta-Learning Algorithms

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

Multi-Task Cooperative Formation Control of Autonomous Surface Vehicles

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

Summer Break

Introduction to Online Clustering

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

Introduction to Submodular Optimization

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

Introduction to Federated Learning

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

Over the Air Computation

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

Data-Driven Online Decision-Making with Costly Information Acquisition

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

Introduction to Domain Adaptation

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

Spring Break

Joint Coverage and Resource Allocation for Federated Learning in UAV-Enabled Networks

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

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