Prateek Jaiswal

22 papers A* 1B 1Misc 3Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors.
CoRR
Somjit Roy, Prateek Jaiswal, Anirban Bhattacharya, Debdeep Pati, Bani K. Mallick
2025 J jnl
Deconfounded Warm-Start Thompson Sampling with Applications to Precision Medicine.
CoRR
Prateek Jaiswal, Esmaeil Keyvanshokooh, Junyu Cao
2025 J jnl
Leveraging Offline Data from Similar Systems for Online Linear Quadratic Control.
CoRR
Shivam Bajaj, Prateek Jaiswal, Vijay Gupta
2024 J jnl
Correction: Multistart algorithm for identifying all optima of nonconvex stochastic functions.
Optim. Lett.
Prateek Jaiswal, Jeffrey Larson
2024 — conf
Enhancing Face Quality Assessment through Age and Expression Analysis.
ICVGIP
Prateek Jaiswal, Anoop Namboodiri
2024 J jnl
Multistart algorithm for identifying all optima of nonconvex stochastic functions.
Optim. Lett.
Prateek Jaiswal, Jeffrey Larson
2023 — conf
Advancing Fingerprint Recognition Quality Assessment: Introducing the FRBQ Metric for Enhanced Fingerprint Recognition.
ICVGIP
Prateek Jaiswal, Arka Koner, Anoop Namboodiri
2023 J jnl
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency.
SIAM J. Optim.
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2023 J jnl
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors.
CoRR
Prateek Jaiswal, Debdeep Pati, Anirban Bhattacharya, Bani K. Mallick
2023 A* conf
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making.
NeurIPS
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2022 B conf
Facial De-morphing: Extracting Component Faces from a Single Morph.
IJCB
Sudipta Banerjee, Prateek Jaiswal, Arun Ross
2022 J jnl
Facial De-morphing: Extracting Component Faces from a Single Morph.
CoRR
Sudipta Banerjee, Prateek Jaiswal, Arun Ross
2021 J jnl
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency.
CoRR
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2020 J jnl
Asymptotic Consistency of α-Rényi-Approximate Posteriors.
J. Mach. Learn. Res.
Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa
2020 Misc conf
Estimating Stochastic Poisson Intensities Using Deep Latent Models.
WSC
Ruixin Wang, Prateek Jaiswal, Harsha Honnappa
2020 J jnl
Estimating Stochastic Poisson Intensities Using Deep Latent Models.
CoRR
Ruixin Wang, Prateek Jaiswal, Harsha Honnappa
2020 Misc conf
Statistical Inference for Approximate Bayesian Optimal Design.
WSC
Prateek Jaiswal, Harsha Honnappa
2020 J jnl
Variational Bayesian Methods for Stochastically Constrained System Design Problems.
CoRR
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2019 J jnl
Asymptotic Consistency of $α-$Rényi-Approximate Posteriors.
CoRR
Prateek Jaiswal, Vinayak A. Rao, Harsha Honnappa
2019 J jnl
Asymptotic Consistency of Loss-Calibrated Variational Bayes.
CoRR
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2019 — conf
Variational Bayesian Methods for Stochastically Constrained System Design Problems.
AABI
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
2018 Misc conf
Optimal Allocations for sample Average Approximation.
WSC
Prateek Jaiswal, Harsha Honnappa, Raghu Pasupathy