Meet P. Vadera
According to our database1,
Meet P. Vadera authored at least 12 papers
between 2019 and 2026.
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Bibliography
2026
Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026
2022
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning.
CoRR, 2022
URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021
2020
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks.
CoRR, 2020
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification.
CoRR, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020
2019
CoRR, 2019
Poster Abstract: Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection.
Proceedings of the 4th IEEE/ACM International Conference on Connected Health: Applications, 2019