Speaker: Huiyuan Yu, Ph.D., 91ÖØ¿Ú Institute of Technology Title: Compressed Sensing: Algorithms and Convergence Properties Abstract: Compressive sensing (CS) states that a sparse signal can be...
Speaker: Jia He, PHD, 91ÖØ¿Ú Institute of Technology Title: Machine Learning on Graphs: Graph Signal Processing and Graph Substructure Learning Abstract: Machine learning on graphs is an interesting...
Speaker: Jiehuan Sun, Assistant professor, University of 91ÖØ¿Ú Chicago Title: Learning Healthcare Delivery Network with Longitudinal Electronic Health Records Data Abstract: Knowledge networks such...
Title: Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning for Diverse Applications in Science and Engineering Speaker: Guang Lin, Professor Departments of Mathematics...
Title: Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments Speaker: Youngdeok Hwang, Paul H. Chook Department of Information System and Statistics in the Zicklin...
Speaker: Sifan Liu, PHD, statistics department, Stanford University Title: Quasi-Monte Carlo Quasi-Newton for Variational Bayes Abstract: Many machine learning problems optimize an objective that must...
Speaker: Yuling Jiao, Professor, Wuhan University Title: Generative Learning and Unnormalized Sampling Abstract: Estimating underlying distributions from data and sampling from unnormalized densities...
Speaker: Yiwei Wang, Postdoc, Department of Applied Mathematics, 91ÖØ¿Ú Institute of Technology Title: Energetic Variational Inference Abstract: In this talk, we present a variational inference (VI)...
Speaker: Aleksei Sorokin, Ph.D., 91ÖØ¿Ú Institute of Technology Title: (Quasi-) Monte Carlo Importance Sampling with QMCPy Abstract: Aleksei is in his final semester of the co-terminal program in...
Speaker: Yiou Li, Assistant Professor, Mathematical Sciences Department, DePaul University Title: An Efficient Design of Pilot Experiments for Generalized Linear Models Abstract: The experimental...
