Prateek Jaiswal

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Variational Bayes

Top Venues

Publications

Prateek Jaiswal, Jeffrey Larson
Multistart algorithm for identifying all optima of nonconvex stochastic functions. Optim. Lett. 18 (6) (2024)
Prateek Jaiswal, Arka Koner, Anoop Namboodiri
Advancing Fingerprint Recognition Quality Assessment: Introducing the FRBQ Metric for Enhanced Fingerprint Recognition. ICVGIP (2023)
Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors. CoRR (2023)
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency. SIAM J. Optim. 33 (3) (2023)
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making. NeurIPS (2023)
Sudipta Banerjee, Prateek Jaiswal, Arun Ross
Facial De-morphing: Extracting Component Faces from a Single Morph. CoRR (2022)
Sudipta Banerjee, Prateek Jaiswal, Arun Ross
Facial De-morphing: Extracting Component Faces from a Single Morph. IJCB (2022)
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency. CoRR (2021)
Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa
Asymptotic Consistency of α-Rényi-Approximate Posteriors. J. Mach. Learn. Res. 21 (2020)
Ruixin Wang, Prateek Jaiswal, Harsha Honnappa
Estimating Stochastic Poisson Intensities Using Deep Latent Models. WSC (2020)
Prateek Jaiswal, Harsha Honnappa
Statistical Inference for Approximate Bayesian Optimal Design. WSC (2020)
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
Variational Bayesian Methods for Stochastically Constrained System Design Problems. CoRR (2020)
Ruixin Wang, Prateek Jaiswal, Harsha Honnappa
Estimating Stochastic Poisson Intensities Using Deep Latent Models. CoRR (2020)
Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa
Asymptotic Consistency of $α-$Rényi-Approximate Posteriors. CoRR (2019)
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
Asymptotic Consistency of Loss-Calibrated Variational Bayes. CoRR (2019)
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
Variational Bayesian Methods for Stochastically Constrained System Design Problems. AABI (2019)
Prateek Jaiswal, Harsha Honnappa, Raghu Pasupathy
Optimal Allocations for sample Average Approximation. WSC (2018)