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Advances in Approximate Bayesian Inference | Tweets by @MatthiasSBauer @adjiboussodieng @liyzhen2 @dawen_liang @s_mandt

Global Optimum Katılım Eylül 2020
17 Takip Edilen727 Takipçiler
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AABI
AABI@aabi_org·
Your favorite event of the year is back with an official Twitter account @aabi_org! Follow us to stay abreast of everything related to AABI. #AABI2020 will be a set of virtual seminars spanning Nov & Dec. Find the call for papers at approximateinference.org/call/ #Bayes
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AABI
AABI@aabi_org·
We also have two exciting contributed talks: "Roundoff Error in Metropolis-Hastings Accept-Reject Steps" by Matt Hoffman and "VIB is Half Bayes" by Alex Alemi. See approximateinference.org/schedule/ for details.
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AABI
AABI@aabi_org·
Note that this session is at a different time at 9am GMT as opposed to the usual 5pm GMT. All the session recordings will be posted on the website shortly after the session finishes.
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AABI
AABI@aabi_org·
In addition we will also have two contributed talks: "Conjugate Energy-Based Models" by Hao Wu and "Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes" by William Tebbutt. See approximateinference.org/schedule/ for details.
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AABI retweetledi
Théo Galy-Fajou @theogf@bayes.club
Come check out the work we did with Nikolai on how one can estimate the KL divergence (or the evidence if you're lucky) with gradient flows when there is no formula available! Looking at you Stein Variational Gradient Descent 👀
AABI@aabi_org

In addition we will also have two contributed talks: "Bijective-Contrastive Estimation" by Jae Hyun Lim and "Evidence Estimation by Kullback-Leibler Integration for Flow-Based Methods" by Nikolai Zaki. See approximateinference.org/schedule/ for details.

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Chin-Wei Huang
Chin-Wei Huang@chinwei_h·
Exciting new work on contrastive estimation of EBM using invertible maps, with @jaehyunlim0606. We use bijections to “generate” contrasting distributions and solve the corresponding classification problems similar to NCE. There are some new tricks, and some new challenges. 1/7
AABI@aabi_org

In addition we will also have two contributed talks: "Bijective-Contrastive Estimation" by Jae Hyun Lim and "Evidence Estimation by Kullback-Leibler Integration for Flow-Based Methods" by Nikolai Zaki. See approximateinference.org/schedule/ for details.

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AABI
AABI@aabi_org·
In addition we will also have two contributed talks: "Bijective-Contrastive Estimation" by Jae Hyun Lim and "Evidence Estimation by Kullback-Leibler Integration for Flow-Based Methods" by Nikolai Zaki. See approximateinference.org/schedule/ for details.
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AABI
AABI@aabi_org·
In addition we will also have two contributed talks: "Argmax Flows: Learning Categorical Distributions with Normalizing Flows" by Emiel Hoogeboom and "Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference" by Erik Daxberger. See approximateinference.org/schedule/
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Mayank Bhaskar
Mayank Bhaskar@cataluna84·
An awesome invited talk on 'Variational Dynamic Mixtures' via Mixture Density Networks for RNNs. Also, some autoregression & ELBOs thrown in with some great use cases! arxiv.org/abs/2010.10403 Followed by contributed talks in #Gaussian, and Alpha KL Divergence #AABI2020 #Bayesian
AABI@aabi_org

In the second #AABI2020 session on Wednesday, Jan 20, Maja Rudolph will present "Variational Dynamic Mixtures". Register at us02web.zoom.us/webinar/regist… or watch our Youtube Livestream at youtube.com/channel/UCZLWL…

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AABI
AABI@aabi_org·
We had a great second session today with speaker Maja Rudolph. Her talk was centered around work she did in this paper arxiv.org/abs/2010.10403. Thanks to the contributed talk speakers and everyone who tuned in! See you next week for the third session with Justin Domke 🎊
AABI@aabi_org

In the second #AABI2020 session on Wednesday, Jan 20, Maja Rudolph will present "Variational Dynamic Mixtures". Register at us02web.zoom.us/webinar/regist… or watch our Youtube Livestream at youtube.com/channel/UCZLWL…

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