==== 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 | -----