#bayesian-inference — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #bayesian-inference, aggregated by home.social.
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✨ Ah, yes, the pinnacle of modern intellectual thought: a webpage that demands JavaScript and cookies before granting you the privilege of knowing how attention is like Bayesian inference. 🔐 Because nothing screams cutting-edge theory like a digital bouncer! 📊🍪
https://medium.com/@vishalmisra/attention-is-bayesian-inference-578c25db4501 #modernthought #digitalprivacy #attentiontheory #Bayesianinference #JavaScriptcookies #HackerNews #ngated -
I'm explaining Hamiltonian Monte Carlo in my grad-level stats class tomorrow, so I put together this animation illustrating HMC in one dimension. I find it very soothing.
#bayesian #BayesianInference #posterior #stats #r #rlang #statistics #MCMC
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I'm teaching my first lecture at the new job today, about probabilistic logic programming, probabilistic inference, and (weighted) model counting.
Some of the required reading is a paper (https://eccc.weizmann.ac.il/eccc-reports/2003/TR03-003/index.html) that was written by a great mentor of mine, prof. dr. Fahiem Bacchus. He passed away just over 2 years ago, and I am honoured to keep his memory alive by teaching his ideas to a new generation of students. Hope to do him proud. 🌱
Please send good vibes? 🥺
#AcademicChatter #AcademicLife #AcademicMastodon #Teaching #Probability #ProbabilisticInference #Probabilities #Logic #LogicProgramming #PropositionalModelCounting #ProbabilisticLogicProgramming #ModelCounting #PropositionalLogic #WeightedModelCounting #DPLL #BayesianProbability #BayesNets #BasianStatistics #BayesianInference #BayesianNetworks #KnowledgeCompilation #DecisionDiagrams #BinaryDecisionDiagrams
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New on the blog: showcasing the immense hackability of #brms by extending a random intercept model with linear predictors on the standard deviation of the random intercept. Should you do it? Most likely not, but if you really really want, there is a way. Also the techniques shown are general and let you do a lot of other crazy stuff with brms. Happy for any feedback!
https://www.martinmodrak.cz/2024/02/17/brms-hacking-linear-predictors-for-random-effect-standard-deviations/#bayesian #BayesianStatistics #BayesianInference #MixedModels
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Who'd like to work out the "likelihood" that all this is simply coincidence? 😛
William #Blake died in 1827, the same year as Pierre-Simon #LaPlace, and is buried in the same cemetery as Thomas #Bayes. In 1788 Blake wrote this:
"...the ratio of all we have already known, is not the same that it shall be when we know more."
#BayesianInference
#InverseProbability
#WilliamBlake
#PierreSimonLaPlace
#ThomasBayes
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After a long break, new #arxivfeed
"Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation"
https://arxiv.org/abs/2305.15208#BayesianInference #MachineLearning #Modelling #SBI #ComputationalNeuroscience
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Happy to share that the second paper of my PhD is now available as preprint and open for public discussion:
https://doi.org/10.5194/egusphere-2023-222We developed a stochastic model of regional surface heat flow and Bayesian methods for its quantification. In particular, we aim to infer the strength of a specifically shaped signal given a sample of heat flow measurements.
#geophysics #heatflow #openscience #BayesianInference -
Our new paper is now out in #JCIM !
BICePs v2.0: Software for Ensemble Reweighting Using Bayesian Inference of Conformational Populations
https://doi.org/10.1021/acs.jcim.2c01296
Congrats to Rob Raddi on this paper and for coding this more user-friendly and extensible Python package #BayesianInference #compchem #chemistry #biophysics
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"Dear all,
We are thrilled to announce the inaugural #ComputationalPsychiatry Conference to take place at Trinity College Dublin on July 6-8th, 2023 (#cpconf2023)
One of the key aims of #ComputationalNeuroscience is to construct theoretical accounts of normal mental function that link characterizations of #neurobiology, #psychology and aspects of the environment. In Computational Psychiatry (CP), these theories, realized in models at various scales, are used to elucidate dysfunction.
The 2023 Computational Psychiatry Conference (7th and 8th July) will contain six sessions, each with a keynote talk from senior faculty and also contributed talks and panel discussions.
The session themes will include Diagnostics, Reinforcement Learning models, Individual-level prediction, Development, Animal models and Treatments. There will also be poster sessions on both days.
The tutorial session (afternoon of 6th July) will contain three introductory talks on #psychiatry for non-clinicians, #BehaviouralModelling using #BayesianInference and #ReinforcementLearning, and #MachineLearning.
Abstract submissions will be closed on March 15th, 2023. We will be able to support 10 participants with a travel award based on a competitive review of their abstract submissions. Top submissions will also be invited as talks.
We look forward to seeing everyone in Dublin this summer!"
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🚀 #AWS Fortuna is skyrocketing! 🚀 Just a few days, and so many GitHub stars and forks! ⭐️
Fortuna supports #ConformalPrediction, #BayesianInference and other methods for #UncertaintyQuantification in #DeepLearning.
Try it out and let us know!
https://github.com/awslabs/fortunaIn collaboration with @cedapprox @andrewgwils and team.
#uncertainty #neuralnetworks #bayesian #conformal #calibration #jax #flax #python #opensource #library #machinelearning #ai
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🚀 #AWS Fortuna is skyrocketing! 🚀 Just a few days, and so many GitHub stars and forks! ⭐️
Fortuna supports #ConformalPrediction, #BayesianInference and other methods for #UncertaintyQuantification in #DeepLearning.
Try it out and let us know!
https://github.com/awslabs/fortunaIn collaboration with @cedapprox, @andrewgwils and team.
#uncertainty #neuralnetworks #bayesian #conformal #calibration #jax #flax #python #opensource #library #machinelearning #ai
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"Our results show that a Bayesian machine can be implemented in a system with distributed #memristors, performing computation
locally, and with min. energy movement, allowing the computation of #BayesianInference with an energy efficiency more than three orders of magnitude higher than a standard microcontroller unit. Due to its reliance on non-volatile memory, and its sole use of read ops, once [...] programmed, the system may be powered down anytime while regaining functionality instantly. " -
Ok, I’m finally going start making a blog and writing posts about topics related to #tractability #BayesianInference #nonparametrics and #deeplearing.
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🤔 Bayesian Inference (on graphical models) is NP-hard.
But even worst! every epsilon-approximation is also NP-hard.
Which means that the worst case scenario is (almost certainly) exponential.
Good news is, there are some special cases where approximation or exact inference can be performed efficiently.
📘 Check out more in "Probabilistic Graphical Models: Principles and Technique" by Daphne Koller and Nir Friedman
#Bayes #bayesianism #MachineLearning #AI #ML #BayesianInference #Inference
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Short #introduction :
I'm a first year PhD student at #NetSI. Broadly interested in #ComplexSystems and #NetworkScience . Currently, I'm looking into #NetworkDynamics, #Emergence and #CollectiveBahavior from the perspective of #InformationTheory and #BayesianInference .Eventhough it's not my main area of expertise, I love to read and learn about #EvolutionaryBiology, #DevelopmentalBiology and #SystemsBiology .
