DeepRHP: A Hybrid Variational Autoencoder for Designing Random Heteropolymers as Protein Mimics

Prof. Haiyan HUANG, University of California, Berkeley

2023-06-05 16:00-17:00

Room 343, Business School Building

Black-box Generalization of Machine Teaching

Prof. Xiaofeng CAO, Jilin University

2023-06-01 16:30-17:30

Room 403, Lecture Hall 3

Inference for Ultra-High Dimensional Quasi-Likelihood Models based on Data Splitting

Prof. Jiancheng JIANG, University of North Carolina at Charlotte

2023-05-25 17:00-18:00

Room 201, Lecture Hall 3

A Network Approach to Compute Hypervolume under ROC Manifold for Multi-Class Biomarkers

Prof. Jialiang LI, National University of Singapore

2023-05-25 16:00-17:00

Room 201, Lecture Hall 3

An Inference for Average Treatment Effects Via Single Index Model

Prof. Zongwu CAI, University of Kansas

2023-05-22 16:00-17:00

Room 343, Business School Building

Low-Rank Matrix and Tensor Methods for Spatiotemporal Traffic Data Modeling

Mr. Xinyu Chen, University of Montreal

2023-05-22 10:30-11:30

Room 104, Business School Building

Proximal Causal Inference

Dr. Andrew Ying (Google)

2023-05-19 14:00-15:00

Room 108, Business School Building

Fighting Noise with Noise: Causal Inference with Many Candidate Instruments

Prof. Linbo WANG, University of Toronto

2023-05-18 16:00-17:00

Room 105, Lecture Hall 3

Test and Measure for Partial Mean Dependence with Machine Learning Methods

Prof. Xu GUO, Beijing Normal University

2023-05-11 16:00-17:00

Room 301, Lecture Hall 3

A robust fusion-extraction procedure with summary statistics in the presence of biased sources

Prof. Qihua Wang (Institute of Mathematics and Systems Science, CAS)

2023-05-09 14:00-15:00

Room 104, Business School Building