Kalvik Jakkala
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    • Fully Differentiable Adaptive Informative Path Planning
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    • Efficient Sensor Placement from Regression with Sparse Gaussian Processes in Continuous and Discrete Spaces
    • GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition
    • Bayesian Sensor Placement for Multi-source Localization of Viruses in Wastewater Networks
    • Probabilistic Gas Leak Rate Estimation using Submodular Function Maximization with Routing Constraints
    • Deep Gaussian Processes: A Survey
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    • Tutorial on streaming sparse Gaussian processes
    • Conjugate-Computation Variational Inference (CVI)
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    • Tutorial on variational sparse Gaussian processes
    • Taxonomy of Key Sparse Gaussian Process Approaches
    • How to read an academic paper
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      • Important Resources
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Stochastic gradient Markov chain Monte Carlo (SGMCMC) methods

Oct 4, 2020·
Kalvik
· 1 min read

My notes on SGMCMC methods and how they relate to each other.

SG-MCMC.drawio.txt

Important Resources

  • Lectures on Stochastic Processes
  • pytorch_MCMC
Last updated on Oct 4, 2020
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