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