Prateek Jaiswal

Jeffrey Larson

Optim. Lett., September, 2024

Multistart algorithm for identifying all optima of nonconvex stochastic functions.

[BibT_eX]

[DOI]

Jeffrey Larson

Optim. Lett., July, 2024

2023

Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency.

[BibT_eX]

[DOI]

SIAM J. Optim., September, 2023

Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sudipta Banerjee

Arun Ross

Proceedings of the IEEE International Joint Conference on Biometrics, 2022

2020

Asymptotic Consistency of α-Rényi-Approximate Posteriors.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

Estimating Stochastic Poisson Intensities Using Deep Latent Models.

[BibT_eX]

[DOI]

Ruixin Wang

Proceedings of the Winter Simulation Conference, 2020

Statistical Inference for Approximate Bayesian Optimal Design.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference, 2020

2019

Asymptotic Consistency of Loss-Calibrated Variational Bayes.

[BibT_eX]

[DOI]

CoRR, 2019

Variational Bayesian Methods for Stochastically Constrained System Design Problems.

[BibT_eX]

[DOI]

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

2018

Optimal Allocations for sample Average Approximation.

[BibT_eX]

[DOI]