13 Dec 2016
16:30-18:10
Auditorium
Session A3: Unsupervised learning
Session Chair: Vagelis Papalexakis (UC Riverside, USA)
REGULAR PAPERS:
DM336 “Iteratively Reweighted Least Squares Algorithms for L1-Norm Principal Component Analysis”
Young Woong Park and Diego Klabjan
DM383 “Heterogeneous Representation Learning with Structured Sparsity Regularization”
Pei Yang and Jingrui He
DM389 “Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis”
Kai Fan, Yizhe Zhang, and Katherine Heller
DM821 “Causal Inference by Compression”
Kailash Budhathoki and Jilles Vreeken
SHORT PAPERS:
DM332 “Factorizing Complex Discrete Data “with Finesse””
Samuel Maurus and Claudia Plant
DM337 “A Fast Factorization-based Approach to Robust Principal Component Analysis”
Chong Peng, Zhao Kang, and Qiang Cheng