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NeurIPS 2022: Posterior and Computational Uncertainty in Gaussian Processes
AugMix: A Simple Method to Improve Robustness and Uncertainty - ICLR 2020
WACV’24 Tutorial on Robustness at Inference: Explainability, Uncertainty, and Intervenability
Robustness - Optimization Under Uncertainty
Google Graph Mining and Learning @ NeurIPS 2020: Scaling GNNs - Amol Kapoor
[NeurIPS Spotlight 2020] Optimal Private Median Estimation under Minimal Distributional Assumptions
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Last Updated: October 27, 2026
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Q&A session with speakers Jasper Snoek, Balaji Lakshminarayanan, and Dustin Tran. Tutorial video ... Presentation of the paper "Certifiably Adversarially Complementary video for the paper: Bracketing Shows the Way: Adaptive Multi-Exposure Policy as Input for arxiv.org/pdf/1912.02781.pdf github.com/google-research/augmix. Neural network driven applications ChatGPT suffer from hallucinations where they confidently provide inaccurate information. In this talk, Amol Kapoor talks about some of the challenges with running GNNs at scale, and presents a solution called PPRGo.
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