I am a Ph.D. student in the Computer Science department at Cornell University, where I have the great fortune to be advised by Prof. Karthik Sridharan and Prof. Robert D. Kleinberg. My research interests lie at the intersection of non-convex optimization and machine learning.
I completed my undergraduate from Indian Institute of Techonology Kanpur (IIT Kanpur), India in 2016 and, after that, spent a year at Google as a part of the Brain Residency program (now called AI Residency).
Reinforcement Learning with Feedback Graphs
Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
Second-Order Information in Non-Convex Stochastic Optimization:
Power and Limitations
Yossi Arjevani, Yair Carmon, John C. Duchi, Dylan J. Foster, Ayush Sekhari, and Karthik Sridharan
The Complexity of Making the Gradient Small in Stochastic Convex Optimization
Dylan Foster, Ayush Sekhari, Ohad Shamir, Nathan Srebro, Karthik Sridharan, Blake Woodworth
COLT 2019. Best Student Paper Award.
Uniform Convergence of Gradients for Non-Convex Learning and Optimization
Dylan Foster, Ayush Sekhari, Karthik Sridharan
NeurIPS 2018. Short version at ICML 2018 Nonconvex Optimization workshop.