Trường hè về thống kê toán và học máy

Hội thảo

Workshop on Bayesian learning and network analysis

Thời gian: 26-27/7/2024

Địa điểm: Viện Nghiên cứu cao cấp về Toán (VIASM), 157 Phố Chùa Láng, Đống Đa, Hà Nội

Program

Workshop on Bayesian learning and network analysis

26 July 2024 Place: VIASM

13:30-14:00	Arriving/Registration
14:00-14:10	Opening Speech by VIASM delegate		Chair
	Speaker	Title	Nguyen Xuan Long University of Michigan
14:10-14:55	Le Minh Can UC Davis	Variational inference: Posterior threshold improves network clustering accuracy in sparse regimes
14:55-15:40	Dang Khue Dung University of Melbourne	Variational inference for structural equation models
15:40-16:00	Coffee Break
16:00-16:45	Can Van Hao Hanoi Institute of Mathematics	Ising model on random graphs	Tran Minh Ngoc University of Sydney
16:45-17:30	Tiffany Tang Notre Dame University	Interpretable network-assisted prediction via random forests	Tran Minh Ngoc University of Sydney
17:30-18:00	Coffee Break
18:00-19:30		Poster Session

27 July 2024 Place: VIASM

7:30-8:00	Arriving/Registration
	Speaker	Title	Ngo Hoang Long Hanoi National University of Education
08:00-8:45	Marta Catalano Luiss University	Distances on random probability measures
8:45-9:30	Bryon Aragam University of Chicago	Bayesian model selection for nonparametric graphical models
9:30-10:15	Hien Nguyen La Trobe University	The limits of some Bayesian model evaluation statistics
10:15-10:45	Coffee Break
10:45-11:30	Juho Lee Korea Advanced Institute of Science & Technology (KAIST)	Flexible Bayesian nonparametric transfer learning with large-scale models	Tran Thi Tuan Anh University of Economic, HCM city
11:30-12:15	Susan Wei University of Melbourne	What's degeneracy got to do with It? Understanding deep neural networks through the local learning coefficient	Tran Thi Tuan Anh University of Economic, HCM city
12:15-14:00	Lunch
14:00-14:45	Nguyen Trung Tin University of Queensland	Demystifying parameter estimation and model selection in mixtures of experts models	Ta Cong Son Vietnam National University
14:45-15:30	Minh Tang North Carolina State University	Perturbation analysis of randomized SVD and its applications to statistics and machine learning	Ta Cong Son Vietnam National University
15:40-16:00	Coffee Break
16:00-16:45	Patricia Ning Texas A&M University	Variable target Markov random field scalable particle filter	Nguyen Xuan Long University of Michigan
16:45-17:30	Vinayak Rao Purdue University	Exact MCMC for Bayesian inference from privatized data	Nguyen Xuan Long University of Michigan