Explore tweets tagged as #approximateinference
#AABI2018 about to start - Variational Bayesian Monte Carlo poster ready with, erm, appendices. Workshop paper here: #NeurIPS2018
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Wondering how to perform matrix inversion-free inference in Student-T Processes? Come to our poster tonight at #AABI2022 Full paper:
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I have presented my first machine learning poster on Structured Continuous Normalizing Flows at :) This is joint work with Boyan, Will & @frankdonaldwood. #NeurIPS2019 Full paper will land on arxiv soon, workshop version @PLAIGroup
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Join us to discuss the latest advances in approximate inference and probabilistic models at AABI 2022 on Feb 1-2! .Webinar registration: We have an amazing line-up of speakers, panelists and papers👍.@vincefort @Tkaraletsos @s_mandt @ruqi_zhang
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The 5th Symposium on.Advances in Approximate Bayesian Inference welcomes your accepted ML journal & conf papers via fast-track! Come present your work at the poster session. OpenReview: CfP: #MachineLearning #Bayes #ICML2023 #AABI
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AABI 2023 is accepting nominations for reviewers, invited speakers, panelist, and future organizing committee members. Let us know who you'd like to hear from! Self-nominations accepted. #aabi #bayes #approximateinference #machinelearning #icml2023.
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We are happy to announce Turing.jl: an efficient library for general-purpose probabilistic #MachineLearning and #ApproximateInference, developed by researchers at @Cambridge_Uni. cc: @Cambridge_CL, @OxfordStats, @CompSciOxford.
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#MonteCarlo methods are #approximateInference techniques using stochastic simulation through sampling. The general idea is to draw independent samples from distr p(x) and approximate the expectation using sample averages.#LawOfLargeNumbers #readingOfTheDay
#VariationalInference is a deterministic #approximateInference. We approximate true posterior p(x) using a tractable distr q(x) found by minimizing *reverse* #KLDivergence KL(q||p). Note: #KLDivergence is asymmetric: KL(p||q)≠KL(q||p). #readingOfTheDay.
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Our paper "Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items" was accepted at #wsdm2019 #DeepLearning #ApproximateInference #VariationalAutoencoder #RecommenderSystem.
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Studying approximate #inference #methods for #Bayesian #optimization and *desperate* to apply your work to #biology and #health? Come join @jura_bio for an #internship this summer. #ML #ml4bio #CellTherapy #FutureOfMedicine #hiring #ApproximateInference #BayesianOptimization.
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#AISTATS decisions are out! My lab went 2 for 2 😀. I would also recommend having a look at submitting to the AABI fast-track or workshop track that happens in-between ICLR and AISTATS in Singapore:
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