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More from our research seminar:
@senya_ashuha talks about current state of uncertainty estimation in Deep Learninghttps://youtu.be/lNIoJmi2tO8Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Low-variance Gradient Estimates for the Plackett-Luce Distribution by
@artygadetsky,@k_struminsky and Dmitry Vetrov in collaboration with Christopher Robinson and Novi Quadrianto http://bayesiandeeplearning.org/2019/papers/115.pdf …pic.twitter.com/O5q1Rsz1Os
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Unsupervised Domain Adaptation with Shared Latent Dynamics for Reinforcement Learning by
@nikishin_evg,@senya_ashuha and Dmitry Vetrov http://bayesiandeeplearning.org/2019/papers/102.pdf …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning by
@senya_ashuha, Alexander Lyzhov,@dmolch111 and Dmitry Vetrov http://bayesiandeeplearning.org/2019/papers/97.pdf …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
It's workshops day at
#NeurIPS2019! Check out our recent results at the Bayesian Deep Learning workshop (West Exhibition Hall C) Poster spotlights at 9:15, poster session at 9:30Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This evening
@k_neklyudov and@eeevgen will present their work "The Implicit Metropolis-Hastings Algorithm"#NeurIPS2019 05:00 -- 07:00 PM @ East Exhibition Hall B + C #183https://twitter.com/k_neklyudov/status/1141372418163953665?s=19 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
3. Importance Weighted Hierarchical Variational Inference by
@art_sobolev 05:30 -- 07:30 PM @ East Exhibition Hall B + C #167https://twitter.com/art_sobolev/status/1126719865232822272?s=19 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
2. A Simple Baseline for Bayesian Uncertainty in Deep Learning by our alumni
@tim_garipov in collaboration with@andrewgwils group 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #146https://twitter.com/andrewgwils/status/1204195090337538048?s=19 …
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1. A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models by
@Max__Kuznetsov and@d_polykovskiy 10:45 AM -- 12:45 PM @ East Exhibition Hall B + C #119https://twitter.com/d_polykovskiy/status/1189458598017097728?s=19 …
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BayesGroup at
#NeurIPS2019! Come see our posters! Today we'll be presenting...Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
By
@artygadetsky,@k_struminsky, and Dmitry Vetrov in collaboration with Christopher Robinson and Novi Quadrianto. The paper was also accepted as a spotlight to the Bayesian Deep Learning#NeurIPS2019 workshop.https://github.com/agadetsky/pytorch-pl-variance-reduction …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Check out our new paper "Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution", accepted as an oral to
#AAAI2020 (@RealAAAI) on how to reduce the variance of gradients when optimizing w.r.t. a distribution over permutations. Paper: https://arxiv.org/abs/1911.10036 pic.twitter.com/p0hVK6ptcD
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Recently, Andrey Malinin of
@Yandex Research visited our research seminar to present his work on "Reverse KL-Divergence training of Prior Networks" (#NeurIPS2019)https://youtu.be/Xuo4F-IL0FcHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Bayesian Methods Research Group proslijedio/la je Tweet
Invited speaker: Anton Osokin (
@aosokin_ml) - a Leading Research Fellow at the Samsung-HSE Laboratory, Moscow, Russia, where he works with the@bayesgroup. He was a post-doc at the SIERRA lab and then at the WILLOW lab at INRIA/ENS in Paris.pic.twitter.com/LoqbKuPvyi
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Another
#NeurIPS2019 paper is out! A new plug-and-play prior for generative models that efficiently packs over 10^100 Gaussians into a high dimensional grid.https://twitter.com/d_polykovskiy/status/1189458598017097728 …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Next in our research seminars we had a guest talk by Eugene Golikov on theoretical understanding of Deep Learninghttps://youtu.be/718brRMILyc
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Maxim Kodryan gave a talk on the "Invariant Risk Minimization" paper (by Martín Arjovsky)https://youtu.be/iBlCpJmaBh0
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Next on our research seminar Sergey Troshin gave a talk covering the "Deep Equilibrium Models" paper (by
@shaojieb)https://youtu.be/9HDTmxcoxmUHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
New academic year, new research seminars! In the first talk,
@art_sobolev gave an overview of current state of the Mutual Information estimation in Machine Learning.https://youtu.be/QE36xa8NqPAHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A good scientific work is not only in discovering novel results, but also in providing critical assessments to peers. We're proud that
@k_struminsky,@KateLobacheva,@dmolch111,@senya_ashuha, Dmitry Vetrov and Dmitry Kropotov were recognized as top 50%#NeurIPS2019 reviewers!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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