Timetable for the TrustML YSS online seminars from Jan. to Dec., 2025. Time (JST)Time (Your Browser)TitleSpeaker Video Link 14:00-15:00 7/01/2025 Practical Challenges and Recent Advances in Data Attribution:Jiaqi Ma (UIUC) No Video 10:30-11:30 27/02/2025 High-Dimensional Differential Parameter Inference in Exponential Family using Time Score MatchingSong Liu (University of Bristol) Video 10:00-11:00 18/04/2025 Universal Online Learning with Gradient VariationsYu-Hu Yan (Nanjing University) Video 10:00-11:00 21/04/2025 Advancing Alignment in Multimodal Foundation ModelsHuaxiu Yao (University of North Carolina at Chapel Hill) Video 10:00-11:00 08/05/2025 Algorithms and Complexity for Two-Team Polymatrix Zero-Sum Games: Revisiting Constrained Bilinear Minmax OptimizationSai Ganesh Nagarajan (Zuse Institute Berlin) No Video 10:00-11:00 09/05/2025 LLMs vs. Torch 1.5: Why Your Code Assistant Can't Keep UpDiganta Misra (Max Planck Institute) Video 10:00-11:00 21/05/2025 Towards Efficient Prune-Retrain Pipelines: Sparse Model Soups and Parameter-Efficient Retraining after PruningMax Zimmer (Technische Universität Berlin) Video 9:30-10:30 05/06/2025 Uncertainty Quantification for LLM-Based Survey SimulationsKaizheng Wang (Columbia University) Video 10:30-11:30 27/06/2025 Graph Transformers for Molecular Science -- Overcoming Limitations in Graph Representation Learning Bresson Xavier (National University of Singapore) Video 10:00-11:00 29/08/2025 Robust and Scalable Federated Learning of Finite Mixture Models: Addressing Label Switching and Byzantine Failures Prof. Qiong Zhang (Renmin University of China) Video 10:30-11:30 12/09/2025 Heavy-tailed Linear Bandits: Huber Regression with One-Pass Update Jing Wang (Nanjing University) Video 10:00-11:00 14/10/2025 Strategic Classification: Learning With Data That ‘Behaves’ Nir Rosenfeld (Technion) Registration 13:30-14:30 17/10/2025 Toward a Theoretical Understanding of Self-Supervised Learning in the Foundation Model Era Prof. Yisen Wang (Peking University) Registration
