24 citations · 44 across the 4 of their papers we have counts for
4 papers
-SVD with Gradient Descent
Yassir Jedra, Devavrat Shah
The emergence of modern compute infrastructure for iterative optimization has led to great interest in developing optimization-based approaches for a scalable computation of -SV…
On Computationally Efficient Learning of Exponential Family Distributions
Abhin Shah, Devavrat Shah, Gregory W. Wornell
We consider the classical problem of learning, with arbitrary accuracy, the natural parameters of a -parameter truncated \textit{minimal} exponential family from i.i.d. samples…
Assortment Optimization Under General Choice
Vivek Farias, Srikanth Jagabathula, Devavrat Shah
We consider the problem of static assortment optimization, where the goal is to find the assortment of size at most that maximizes revenues. This is a fundamental decision prob…
On entropy for mixtures of discrete and continuous variables
Chandra Nair, Balaji Prabhakar, Devavrat Shah
Let be a discrete random variable with support and be a bijection. Then it is well-known that the entropy of is the same as the entropy of .…