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Computationally & Statistically Efficient Distributed Inference with Theoretical Guarantees
The Foundations of Biomedical Data Science
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Scaling Up Bayesian Inference for Big and Complex Data
Simons Institute for the Theory of Computing
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CCN 2019: Tutorial T-C: Approximate inference in the brain: free energy, sampling, and beyond
Cognitive Computational Neuroscience
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42:55
Efficient Distance Estimation And Causal Inference For Discrete Models
Simons Institute for the Theory of Computing
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Ryan Smith: Active inference as a computational framework for modeling empirical data
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MobiSys 2021 - Low-latency Speculative Inference On Distributed Multi-modal Data Streams
ACM SIGMOBILE ONLINE
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Sophie Langer - Deep Learning meets statistics: Improving neural networks with statistical theory
Warwick Statistics Department
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A Hardware Prototype Targeting Distributed Deep Learning for On-Device Inference
ComputerVisionFoundation Videos
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Reliable Inference at Scale Using Graph Structure by Mansi Sood
International Centre for Theoretical Sciences
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1:06:46
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Debdeep Pati - "Variational inference – reconciling statistical and convergence guarantees"
UWMadison SILO Seminar
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