Professor Daniel Yekutieli Department of Statistics and Operations Research School of Mathematical Sciences (Schreiber #207) Tel Aviv University Title: Distribution-Free Bayesian multivariate predictive inference Abstract: I will introduce a Bayesian multivariate predictive inference framework. The basis for this framework is a hierarchical … Read more
Professor Jeremy Marzuola Department of Mathematics The University of North Carolina at Chapel Hill Title: New ideas on label propagation in networks Abstract: We will present some new ideas that is a work in progress on quantifying influence propagation in networks. … Read more
Professor Can Chen School of Data Science and Society (SDSS) and Department of Mathematics The University of North Carolina at Chapel Hill Title: The Kronecker product of tensors Abstract: Tensors extend classic matrix theory to account for multiway relationships, which … Read more
Leyao Zhang Department of Biostatistics, School of Public Health, University of Michigan Title: Optimal monitoring of infectious disease and inference using a transitional prediction model Abstract: The effectiveness of tracking delta virus infected cases has been compromised by at-home COVID test kits. An … Read more
FRG Biweekly Group Meeting: PI only meeting August 23 @ 3:00 pm - 4:00 pm This is the first meeting in Fall 2024 semester. The PIs from both UNC and UIC will meet and discuss research and collaboration plans.
Chudi Zhong School of Data Science and Society and Department of Statistics and Operations Research, University of North Carolina at Chapel Hill Title: Towards A New Frontier of Trustworthy AI: Interpretable Machine Learning Algorithms that Produce All Good Models Abstract: Machine learning … Read more
Professor Guorong Wu Department of Psychiatry, UNC School of Medicine Title: Graph Neural Network Is A Mean Field Game Abstract: In current graph neural networks (GNNs), it is a common practice to apply a pre-defined message passing heuristics to all graph … Read more
3:00-3:30pm Informal talk by Nathan Beaumont Nathan Beaumont Title: Predicting Brain Metastasis Distant Recurrence with Machine Learning on Surveillance Brain MRI Background: Brain metastases are a typical complication of advanced cancer, with an incidence rate of approximately 20%. Early detection of … Read more
No meeting this week. Enjoy the fall break.
Prof. Jun Lian Department of Radiation Oncology UNC School of Medicine Title: Computation Problems in Radiation Oncology The talks will be both in-person at Chapman 435 Math Conference Room and on Zoom https://unc.zoom.us/j/97696635281
3:00-3:15pm lightning talk Chuxiangbo Wang, Math@UNC 3:15-4:00pm informal talk Prof. Shiying Li, Department of Mathematics, University of Nebraska-Lincoln Title: Linear independent Component Analysis in Wasserstein Space Abstract: The talk introduces a set-up for linear independent component analysis (ICA) in Wasserstein … Read more
