1 citations · 3 across the 3 of their papers we have counts for
7 papers
Facial De-morphing: Extracting Component Faces from a Single Morph
Sudipta Banerjee, Prateek Jaiswal, Arun Ross
A face morph is created by strategically combining two or more face images corresponding to multiple identities. The intention is for the morphed image to match with multiple ident…
Estimating Stochastic Poisson Intensities Using Deep Latent Models
Ruixin Wang, Prateek Jaiwal, Harsha Honnappa
We present methodology for estimating the stochastic intensity of a doubly stochastic Poisson process. Statistical and theoretical analyses of traffic traces show that these proces…
Variational Bayesian Methods for Stochastically Constrained System Design Problems
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
We study system design problems stated as parameterized stochastic programs with a chance-constraint set. We adopt a Bayesian approach that requires the computation of a posterior…
Asymptotic Consistency of Loss-Calibrated Variational Bayes
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
This paper establishes the asymptotic consistency of the {\it loss-calibrated variational Bayes} (LCVB) method. LCVB was proposed in~\cite{LaSiGh2011} as a method for approximately…
Asymptotic Consistency of Rényi-Approximate Posteriors
Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa
We study the asymptotic consistency properties of -Rényi approximate posteriors, a class of variational Bayesian methods that approximate an intractable Bayesian posterior with…
Optimal Allocations for Sample Average Approximation
Prateek Jaiswal, Harsha Honnappa, Raghu Pasupathy
We consider a single stage stochastic program without recourse with a strictly convex loss function. We assume a compact decision space and grid it with a finite set of points. In…