Bayesian Methods Research Group

from Moscow, Russia

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Kirill Struminsky

Recent Publications

  • Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution (2019)
  • Low-variance Gradient Estimates for the Plackett-Luce Distribution (2019)
  • The Deep Weight Prior (2019)
  • Quantifying Learning Guarantees for Convex but Inconsistent Surrogates (2018)
  • A New Approach for Sparse Bayesian Channel Estimation in SCMA Uplink Systems (2016)
  • Robust Variational Inference (2016)
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