Asymptotic Consistency of -{R}\'enyi-Approximate Posteriors P Jaiswal, V Rao, H Honnappa Journal of Machine Learning Research 21 (156), 1-42, 2020 | 16 | 2020 |
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making P Jaiswal, H Honnappa, V Rao Advances in Neural Information Processing Systems 36, 2024 | 8* | 2024 |
Estimating stochastic Poisson intensities using deep latent models R Wang, P Jaiswal, H Honnappa 2020 Winter Simulation Conference (WSC), 596-607, 2020 | 7 | 2020 |
Asymptotic consistency of loss‐calibrated variational Bayes P Jaiswal, H Honnappa, VA Rao Stat 9 (1), e258, 2020 | 4 | 2020 |
Dominating points of Gaussian extremes H Honnappa, R Pasupathy, P Jaiswal arXiv preprint arXiv:1810.12132, 2018 | 4 | 2018 |
Variational Bayesian methods for stochastically constrained system design problems P Jaiswal, H Honnappa, VA Rao Symposium on Advances in Approximate Bayesian Inference, 1-12, 2020 | 2 | 2020 |
Statistical inference for approximate bayesian optimal design P Jaiswal, H Honnappa 2020 Winter Simulation Conference (WSC), 2138-2148, 2020 | 1 | 2020 |
Large deviations of gaussian extremes on convex sets H Honnappa, P Jaiswal, R Pasupathy Manuscript. https://web. ics. purdue. edu/pasupath/PAPERS/ldextremes. pdf, 2020 | 1 | 2020 |
Optimal allocations for sample average approximation P Jaiswal, H Honnappa, R Pasupathy 2018 Winter Simulation Conference (WSC), 1874-1885, 2018 | 1 | 2018 |
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency P Jaiswal, H Honnappa, VA Rao SIAM Journal on Optimization 33 (3), 1968-1995, 2023 | | 2023 |
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors P Jaiswal, D Pati, A Bhattacharya, BK Mallick arXiv preprint arXiv:2309.06349, 2023 | | 2023 |
Multistart Algorithm for Identifying All Optima of Nonconvex Stochastic Functions P Jaiswal, J Larson arXiv preprint arXiv:2108.13504, 2021 | | 2021 |
Variational Inference for Data-Driven Stochastic Programming P Jaiswal Purdue University, 2021 | | 2021 |
Variational inference for diffusion modulated Cox processes P Jaiswal, H Honnappa, V Rao | | 2020 |