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math.OC2021
Sharp global convergence guarantees for iterative nonconvex optimization: A Gaussian process perspective
Kabir Aladin Chandrasekher, Ashwin Pananjady, Christos Thrampoulidis
We consider a general class of regression models with normally distributed covariates, and the associated nonconvex problem of fitting these models from data. We develop a general…
math.OC2018
Maximizing Road Capacity Using Cars that Influence People
Daniel A. Lazar, Kabir Chandrasekher, Ramtin Pedarsani +1
The emerging technology enabling autonomy in vehicles has led to a variety of new problems in transportation networks, such as planning and perception for autonomous vehicles. Othe…