42 citations · 55 across the 6 of their papers we have counts for
3 papers · 1 filter
MARS: Masked Automatic Ranks Selection in Tensor Decompositions
Maxim Kodryan, Dmitry Kropotov, Dmitry Vetrov
Tensor decomposition methods have proven effective in various applications, including compression and acceleration of neural networks. At the same time, the problem of determining…
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
Pavel Izmailov, Alexander Novikov, Dmitry Kropotov
We propose a method (TT-GP) for approximate inference in Gaussian Process (GP) models. We build on previous scalable GP research including stochastic variational inference based on…
Faster variational inducing input Gaussian process classification
Pavel Izmailov, Dmitry Kropotov
Gaussian processes (GP) provide a prior over functions and allow finding complex regularities in data. Gaussian processes are successfully used for classification/regression proble…