David Montalván
@david_mont_h
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Just a human being that is pretty good in turning oxygen into carbon dioxide.
https://davidrmh.github.io/
Joined February 2019
https://t.co/qLBgaDE9Ck Bayesian Portfolio Optimization a use case for Rstan
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I'll be at #AISTATS24 this week, presenting Probabilistic Integral Circuits (PICs), a language for continuous hierarchical latent variable models! We add integral units to tractable probabilistic models (TPMs) and represent hierarchical continuous mixtures. 🧵
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How I fell out of love with academia (this video was an accidental publication/scheduling blunder😬😬 but well uh, happy Friday I guess) https://t.co/7eUpgouIkI
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It's official—there'll be a workshop on Geometrical and Topological Representation Learning @iclr_conf. Stay tuned for more information! #Geometry #Topology #MachineLearning #RepresentationLearning
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Please join The ##Neurosymbolic AI Panel 👇at @RealAAAI #aaai2021: Sunday Feb 7, 7:30 AM PST. Amazing panelists: @guyvdb, Marta Kwiatkowska, Matthew Botvinick, Leslie P Kaelbling, and @luislamb ! Thanks for joining @GaryMarcus @Montreal_AI @ceobillionaire
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Maybe I've been converted into a Julia fan ... we'll see 🤓
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Submission site is open for #UAI2021 All accepted papers will be presented in poster sessions and spotlight presentations in a single plenary track. Selected papers will have longer presentations and an assigned discussant to foster debate!
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#UAI2021 is online: https://t.co/nYlHSK7np5 check the call for papers (deadline 19 Feb)! Call for workshop proposals will come soon. Let's build a great program and online experience, the chairs welcome suggestions
auai.org
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I expect this to be a very interesting podcast.
#ACMFellow and @UCBerkeley Professor Michael I. Jordan is this week's guest on the @twimlai podcast. Jordan discusses his current work at the intersection of economics and #AI, and how #MachineLearning can create value and empowerment across industries: https://t.co/cbGLfKm7VD
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The Slack community for https://t.co/1dRV4l5eM0 reached 500 people today. It looks like people are organizing study groups in a few different timezones. People with many different interesting backgrounds in the course.
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Happy to announce the workshop "I Can't Believe It is Not Better" @ NeurIPS 2020. Please consider submitting and spread the word! Submission deadline: October 14th. See all details here:
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1/6 Excited to announce that a draft of my book Algorithms for Convex Optimization (to be published by Cambridge) is available for download: https://t.co/nY8Amdl580 Intended audience includes undergraduates, graduates and researches from TCS, optimization, and machine learning
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A gentle introduction to #Probabilistic #Circuits #PCs and the importance and joys of #tractable #inference and #modeling in #ML and #AI A new tutorial with @yjchoi012 @ropeharz @guyvdb at @ECAI2020 #ECAI2020 starting in ~30 mins👇👇👇 https://t.co/1CCyyQ6h7c
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The alternating harmonic series 1 - 1/2 + 1/3 - 1/4 + 1/5 - 1/6 + ... can be rearranged to approach any limit you want! This amazing fact (a special case of the Riemann rearrangement theorem) is elegantly illustrated by this applet https://t.co/d06ntY8xBP (ht @paultpearson).
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Very interesting introduction to Causal Inference and Machine Learning by @Susan_Athey:
idss.mit.edu
Abstract: This talk will review a series of recent papers that develop new methods based on machine learning methods to approach problems of causal inference, including estimation of conditional...
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nlp-roadmap is a repo that provides a roadmap for students who are interested in NLP. Guide yourself on what to study by identifying keywords and following the mind map. It could also serve as a guide to prepare for an NLP Engineer interview. https://t.co/HmeNTgyvLH
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Why is this interesting? - Amsterdam and The Autonomous Zone Edition by @WhyInteresting
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