Meet P. Vadera

Applied Scientist, Amazon

Joined

September 2019

Names

Meet P. Vadera (Preferred)

,

Meet P Vadera

Emails

****@cs.umass.edu (Confirmed)

,

****@btech2012.iitgn.ac.in (Confirmed)

,

****@gmail.com (Confirmed)

,

****@amazon.com (Confirmed)

Personal Links

Semantic Scholar

Career & Education History

Applied Scientist

Amazon (amazon.com)

2022 – Present

PhD student

University of Massachusetts, Amherst (umass.edu)

2017 – 2022

Undergrad student

IIT Gandhinagar (iitgn.ac.in)

2012 – 2016

Advisors, Relations & Conflicts

Coauthor

2020 – Present

PhD Advisor

Benjamin Marlin

2017 – Present

Expertise

Bayesian deep learning

2018 – Present

Deep Learning

2017 – Present

Publications

URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods
Meet P. Vadera, Jinyang Li, Adam D. Cobb, Brian Jalaian, Tarek F. Abdelzaher, Benjamin M. Marlin
- 2022 (modified: 16 Apr 2023)
- MLSys 2022
- Readers: Everyone
Uncertainty Quantification Using Query-Based Object Detectors
Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin
- 2022 (modified: 16 Apr 2023)
- ECCV Workshops (8) 2022
- Readers: Everyone
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems
Meet P. Vadera, Benjamin M. Marlin
- 2021 (modified: 16 Apr 2023)
- CogMI 2021
- Readers: Everyone
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems
Meet P. Vadera, Benjamin M. Marlin
- 2021 (modified: 21 Dec 2021)
- CoRR 2021
- Readers: Everyone
Post-hoc loss-calibration for Bayesian neural networks
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
- 2021 (modified: 21 Dec 2021)
- CoRR 2021
- Readers: Everyone
Post-hoc loss-calibration for Bayesian neural networks
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
- 2021 (modified: 21 Dec 2021)
- UAI 2021
- Readers: Everyone
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification
Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin
- 2020 (modified: 25 Jan 2025)
- CoRR 2020
- Readers: Everyone
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems
Benjamin M. Marlin, Tarek F. Abdelzaher, Gabriela Ciocarlie, Adam D. Cobb, Mark Dennison, Brian Jalaian, Lance M. Kaplan, Tiffany Raber, Adrienne Raglin, Piyush K. Sharma, Mani B. Srivastava, Theron Trout, Meet P. Vadera, Maggie Wigness
- 2020 (modified: 28 Jan 2026)
- CogMI 2020
- Readers: Everyone
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
- 2020 (modified: 21 Dec 2021)
- UAI 2020
- Readers: Everyone

View all 14 publications

Co-Authors