Meet P. Vadera

16 papers A 2B 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2026 — conf
Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs.
EACL (Findings)
Junbo Li, Peng Zhou, Rui Meng, Meet P. Vadera, Lihong Li, Yang Li
2025 J jnl
Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs.
CoRR
Junbo Li, Peng Zhou, Rui Meng, Meet P. Vadera, Lihong Li, Yang Li
2022 J jnl
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning.
CoRR
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
2022 — conf
URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods.
MLSys
Meet P. Vadera, Jinyang Li, Adam D. Cobb, Brian Jalaian, Tarek F. Abdelzaher, Benjamin M. Marlin
2022 — conf
Uncertainty Quantification Using Query-Based Object Detectors.
ECCV Workshops (8)
Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin
2021 — conf
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems.
CogMI
Meet P. Vadera, Benjamin M. Marlin
2021 J jnl
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems.
CoRR
Meet P. Vadera, Benjamin M. Marlin
2021 A conf
Post-hoc loss-calibration for Bayesian neural networks.
UAI
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
2021 J jnl
Post-hoc loss-calibration for Bayesian neural networks.
CoRR
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin
2020 J jnl
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification.
CoRR
Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin
2020 A conf
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks.
UAI
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
2020 J jnl
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks.
CoRR
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin
2020 — conf
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems.
CogMI
Benjamin M. Marlin, Tarek F. Abdelzaher, Gabriela F. 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 B. Wigness
2020 J jnl
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks.
CoRR
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin
2019 J jnl
Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty.
CoRR
Meet P. Vadera, Benjamin M. Marlin
2019 B conf
Poster Abstract: Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection.
CHASE
Benjamin M. Marlin, Meet P. Vadera