September 26-27, 2016
New York, NY
Alekh Agarwal

Alekh Agarwal
Researcher, Microsoft Research

Alekh Agarwal is a researcher at Microsoft Research New York City working on machine learning. His research spans several areas, including online learning and optimization and learning with partial feedback, which routinely arises in interactive machine learning and reinforcement learning problems. Alekh has won several awards, including a best paper award at NIPS 2015.

Sessions

11:00am–11:40am Tuesday, 09/27/2016
Location: 3D08
Alekh Agarwal (Microsoft Research)
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Alekh Agarwal explains why interactive learning systems that go beyond the routine train/test paradigm of supervised machine learning are essential to the development of AI agents. Along the way, Alekh outlines the novel challenges that arise at both the systems and learning side of things in designing and implementing such systems. Read more.