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Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems


Dec 03, 2021
Meet P. Vadera, Benjamin M. Marlin


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Post-hoc loss-calibration for Bayesian neural networks


Jun 13, 2021
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin

* Accepted to Conference on Uncertainty in AI (UAI) '21 

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URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks


Jul 08, 2020
Meet P. Vadera, Adam D. Cobb, Brian Jalaian, Benjamin M. Marlin

* Presented at the ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning 

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Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks


May 16, 2020
Meet P. Vadera, Brian Jalaian, Benjamin M. Marlin

* Accepted at UAI '20 

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Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification


Feb 07, 2020
Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin

* Presented at SafeAI Workshop, AAAI 2020 

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Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty


Jun 10, 2019
Meet P. Vadera, Benjamin M. Marlin


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