Timetable for the TrustML YSS online seminars from Jul to Aug., 2022. Time (JST)Time (Your Browser)TitleSpeaker Video Link 10:00-11:00 05/07/2022 Toward a Principled Understanding of Robust Machine Learning Methods and Its Connection to Multiple Aspects:Haohan Wang (Carnegie Mellon University) Video 9:00-10:00 08/07/2022 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization:Junyuan Hong (Michigan State University) Video 11:00-12:00 20/07/2022 Learning and Using Causal Knowledge: A Further Step Towards a Higher-Level Intelligence:Biwei Huang (Carnegie Mellon University) Video 15:30-16:30 26/07/2022 Deep Learning for Biosequences:Jean-Philippe Vert (Google Research) Video 10:00-11:00 08/08/2022 The Matthew Effect when Learning from Weakly Supervised Data:Yang Liu (UCSC) Video 9:00-10:00 16/08/2022 A Learning-Theoretic Framework for Certified Auditing of Machine Learning Models:Chhavi Yadav (UCSD) Video 10:00-11:00 16/08/2022 Understanding Pre-Training, Fine-Tuning, and Self-Training for Unsupervised Domain Adaptation:Ananya Kumar (Stanford University) Video 10:00-11:00 24/08/2022 Enabling Large-Scale Certifiable Deep Learning towards Trustworthy Machine Learning:Linyi Li (UIUC) Video
