Prateek Jaiswal

According to our database, Prateek Jaiswal authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency.

Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao

SIAM J. Optim., September, 2023

Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors.

Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick

CoRR, 2023

On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making.

Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Advancing Fingerprint Recognition Quality Assessment: Introducing the FRBQ Metric for Enhanced Fingerprint Recognition.

Prateek Jaiswal, Arka Koner, Anoop Namboodiri

Proceedings of the Fourteenth Indian Conference on Computer Vision, 2023

2022

Facial De-morphing: Extracting Component Faces from a Single Morph.

Sudipta Banerjee, Prateek Jaiswal, Arun Ross

Proceedings of the IEEE International Joint Conference on Biometrics, 2022

2020

Asymptotic Consistency of α-Rényi-Approximate Posteriors.

Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa

J. Mach. Learn. Res., 2020

Estimating Stochastic Poisson Intensities Using Deep Latent Models.

Ruixin Wang, Prateek Jaiswal, Harsha Honnappa

Proceedings of the Winter Simulation Conference, 2020

Statistical Inference for Approximate Bayesian Optimal Design.

Prateek Jaiswal, Harsha Honnappa

Proceedings of the Winter Simulation Conference, 2020

2019

Asymptotic Consistency of Loss-Calibrated Variational Bayes.

Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao

CoRR, 2019

Variational Bayesian Methods for Stochastically Constrained System Design Problems.

Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

Optimal Allocations for sample Average Approximation.

Prateek Jaiswal, Harsha Honnappa, Raghu Pasupathy

Proceedings of the 2018 Winter Simulation Conference, 2018