Core Algorithmic research in machine learning, deep learning and beyond.
Research thrusts include learning with 10x fewer labeled samples, incorporating knowledge graphs into deep learning, online learning, white-box learning, transfer learning, data driven optimization, and deep learning on encrypted data. Beyond deep learning, the team is beginning to explore long term research areas like common sense reasoning and quantum ML.