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HSE University

Bayesian Methods Research Group

Head of the Group

 Prof.​ Dmitry Vetrov

 

News

2
Feb
2018

Two papers "SEARNN: Training RNNs with global-local losses" and "Expressive power of recurrent neural networks" have been accepted to ICLR 2018!

23
Dec
2017

"Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition" and "Fast Adaptation in Generative Models with Generative Matching Networks" have been accepted to AISTATS

15
Nov
2017

Dmitry Vetrov has announced the second summer school on Deep Learning and Bayesian Methods during his talk at Sberbank Data Science Journey. The school will be held at HSE in Aug 2018.

25
Oct
2017

Dmitry Vetrov gave a talk as an invited speaker at Samsung AI forum, the video is available on youtube . Samsung AI forum was made by leading machine learning researchers, included Yoshua Bengio, Stuart Russell, Christopher Manning.

6
Sep
2017

Our Structured Bayesian Pruning via Log-Normal Multiplicative Noise paper was accepted to NIPS’17.

2
Sep
2017

Summer School on Bayesian Deep Learning has been successfully finished!

7
Jul
2017

Bayesian Methods research group has received The Russian Science Foundation grant on "Bayesian Deep Learning Methods for Machine Learning, Scalable Optimization, and Computer Vision".

13
May
2017

Our Variational Dropout Sparsifies DNNs paper has been accepted to ICML’17. It is a joint paper with HSE, Yandex, Skoltech and MIPT!

28
Mar
2017

A research project on modern large-scale optimization methods led by Yuri Nesterov has been approved by Russian Science Foundation. The team of researchers includes Dmitry Vetrov, Dmitry Kropotov and Anton Rodomanov.

22
Mar
2017

Three papers have been accepted to ICLR workshops


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