Laura Balzano

# Videos

Many of my talks are available for viewing online.

Fields Institute Summer 2021: Heteroscedastic PCA
Rutgers Spring 2021: Heteroscedastic PCA and Variety Completion
IAS Fall 2020: Variety Completion
IST Lisbon Summer 2020: Preference Modeling with Context-Dependent Salient Features
IAS Winter 2020: Preference Modeling with Context-Dependent Salient Features
Simons Fall 2018: Heteroscedastic PCA
Simons Fall 2018: Subspace Clustering with Ensembles of K-Subspaces
MICDE Spring 2017: Learning low-rank models with missing data
Simons Winter 2017: Active Subspace Clustering
Summer 2014: Missing Data (the Big Data Dilemma) – 3 min overview
UM Stats Fall 2013: Learning Subspaces when Data are Missing and Corrupted
Spring 2012: High-rank Matrix Completion