43 citations · 153 across the 27 of their papers we have counts for
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Accuracy of Gaussian approximation in nonparametric Bernstein -- von Mises Theorem
Vladimir Spokoiny, Maxim Panov
The prominent Bernstein -- von Mises (BvM) result claims that the posterior distribution after centering by the efficient estimator and standardizing by the square root of the tota…
Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension
Marina Gomtsyan, Nikita Mokrov, Maxim Panov +1
The existing approaches to intrinsic dimension estimation usually are not reliable when the data are nonlinearly embedded in the high dimensional space. In this work, we show that…
Deeper Connections between Neural Networks and Gaussian Processes Speed-up Active Learning
Evgenii Tsymbalov, Sergei Makarychev, Alexander Shapeev +1
Active learning methods for neural networks are usually based on greedy criteria which ultimately give a single new design point for the evaluation. Such an approach requires eithe…