Event Detail
- Start Date 07/29/2022
- Start Time 00:00
- End Date 06/29/2022
- End Time 19:00
- Location 700 Seaters Auditorium
Our research covers a wide range of topics of this fast-evolving field, advancing how machines learn, predict, and control, while also making them secure, robust and trustworthy. Research covers both the theory and applications of ML. This broad area studies ML theory (algorithms, optimization, etc.); statistical learning (inference, graphical models, causal analysis, etc.); deep learning; reinforcement learning; symbolic reasoning ML systems; as well as diverse hardware implementations of ML
