Experience
Education
Bio
Research Interests
Large-scale machine learning:
Distributed learning with communication efficiency and differential privacy
Learning with large output space
Fast and memory efficient neural networks
Computer vision applications
Foundations of machine learning:
Structured matrices
Random features, dimensionality reduction, binary embedding