Agenda:

Opening of Workshop on Mathematical Foundations of Machine Learning
7:50~8:00 CEST Welcome Masashi SUGIYAMA and Tomasz PIOTROWSKI
Session 1
8:00~8:20 CEST Classifier Learning Using Multi-objective Optimization - Threats to Validity Michał WOŹNIAK Wrocław University of Science and Technology, Wrocław, Poland
8:20~8:40 CEST Convergence of Fixed Point Iterations of Positive Concave Mappings with Applications to Design of Machine Learning Algorithms Renato L. G. CAVALCANTE HHI Fraunhofer Institute, Berlin, Germany
8:40~9:00 CEST Fixed Points of Nonnegative Neural Networks Tomasz PIOTROWSKI Nicolaus Copernicus University, Toruń, Poland
9:00~9:20 CEST Coffee Break
Session 2
9:20~9:40 CEST Quantum Kernel Methods in Machine Learning Minh HA QUANG RIKEN AIP, Tokyo, Japan
9:40~10:00 CEST Efficient Machine Learning with Tensor Networks Qibin ZHAO RIKEN AIP, Tokyo, Japan
10:00~10:20 CEST Tensor Networks for CNN Compression Rafał ZDUNEK Wrocław University of Science and Technology, Wrocław, Poland
10:20~10:40 CEST Discovering Optimal Tensor Network Architectures: An Exploration of Tensor Network Structure Search (TN-SS) Chao LI RIKEN AIP, Tokyo, Japan
10:40~11:00 CEST Coffee Break
Session 3
11:00~11:20 CEST Explainable AI: Opportunities and Challenges Przemysław BIECEK Warsaw University of Technology, Warsaw, Poland
11:20~11:40 CEST Zero-waste Machine Learning Tomasz TRZCIŃSKI Warsaw University of Technology, Warsaw, Poland, and Jagiellonian University, Kraków, Poland
11:40~12:00 CEST Towards Continuous Adaptation in Non-stationary Environments Zhen-Yu ZHANG RIKEN AIP, Tokyo, Japan
12:00~12:20 CEST Exploring the Fixed Points in Cone Mapping: Enhancements to Neural Network Applications Krzysztof RYKACZEWSKI Nicolaus Copernicus University, Toruń, Poland
12:20~13:20 CEST Lunch Break
Session 4
13:20~13:40 CEST Recent Advances in Reliable Machine Learning Masashi SUGIYAMA RIKEN AIP and The University of Tokyo, Tokyo, Japan
13:40~14:00 CEST Stable Gradient-based Hyperparameter Optimization Ryuichiro HATAYA RIKEN AIP, Tokyo, Japan
Poster Session
14:00~14:00 CEST Coordination in Modular and Decentralized Neural Networks Yuwei SUN RIKEN AIP, Tokyo, Japan
Quasi-nonexpansive Deep Equilibrium Models Mateusz GABOR Wrocław University of Science and Technology, Wrocław, Poland
Continual Learning Jędrzej KOZAL Wrocław University of Science and Technology, Wrocław, Poland
Categorification of Disentangled Representation Learning Yivan ZHANG RIKEN AIP, Tokyo, Japan
Robust Contrastive Learning and Its Applications Shue CHEN RIKEN AIP, Tokyo, Japan
Bandit Formulations for Hybrid Band Wireless Networks Sherief HASHIMA RIKEN AIP, Fukuoka, Japan
Posters of MSc/PhD students TBA TBA