Top Tweets for #ProbabilisticProgramming
We’re on Discord! 🎧🚀
Moving beyond GitHub discussions—join the new RxInfer server (by @LazyDynamics ) to chat, ask Qs, get updates, and plan hackathons.
Jump in: https://t.co/z6TV09yGO9
#RxInfer #BayesianInference #ProbabilisticProgramming
We’re on Discord! You asked for better community engagement around RxInfer & RxInfer Pro—so here it is.
Join us for Q&A, updates, hackathons & more. It’s quiet now, but let’s build it together.
📷 https://t.co/z6TV09yGO9
#RxInfer #BayesianInference #ProbabilisticProgramming
Thanks to @LazyDynamics for open-sourcing latent vector autoregressive model for RxInfer! Handles 20 5th-order AR processes, 2000 noisy obs, and 50-step predictions in 3s.
🔗https://t.co/cf7ONGx0UG
#ProbabilisticProgramming #OpenSource #RxInfer
Big thanks to @alex_andorra & @ChrisWymant for a great #StanCon 2024 panel! We covered epidemiology vs biology, infectious diseases vs NCDs, generative emulators, graph GPs, sequential data collection, and, of course, #ProbabilisticProgramming.
Why guess when you can be Bayesian? Embrace uncertainty in your models with Bayesian inference. #BayesianInference #ProbabilisticProgramming #MachineLearning
Made an introductory 📕(draft) about using Python for Bayesian Inference and unifying narrative, math, and code. People seem to find it helpful. Check it out. Feedback encouraged.
https://t.co/sOVqel3GJu
#DataScience #Python #bayes #Stats #probabilisticprogramming
A short preview of POPL, in St.Gallen today: Gabriele Vanoni presents his work on Bayesian Networks (exactly!) #probabilisticprogramming
📣 Nova Oportunidade!
🧑💻 Júnior em #probabilisticprogramming e #digitalmarketing
🏙️ mopa. Comunicação
🪙 R$ 3.500
📍 Santo André, SP
Candidate-se agora! https://t.co/OybtVaBLTK
#empregos #jobs #vagas #tecnologia
📣 Nova Oportunidade!
🧑💻 Sênior em #probabilisticprogramming e #digitalmarketing
🏙️ mopa. Comunicação
🪙 R$ 4.000
📍 Santo André, SP
Candidate-se agora! https://t.co/0cJC25IeuA
#empregos #jobs #vagas #tecnologia
📣 Nova Oportunidade!
🧑💻 Pleno em #probabilisticprogramming e #digitalmarketing
🏙️ mopa. Comunicação
🪙 R$ 3.704
📍 Santo André, SP
Candidate-se agora! https://t.co/k6LmFm4F1V
#empregos #jobs #vagas #tecnologia
Automatic differentiation in Prolog. ~ Tom Schrijvers, Birthe van den Berg, Fabrizio Riguzzi. https://t.co/cyofUfif5k #Prolog #LogicProgramming #AutomaticDifferentiantion #ProbabilisticProgramming
Join Sharan Yalburgi from JuliaHub on Mar 22 for a free session on Probabilistic Programming using Julia! Explore Turing.jl and Gaussian Processes. Register now! https://t.co/FLE4ivVyTj
#Julialang #ProbabilisticProgramming
Work on a new CUDA kernel for enumerating sums of discrete random variables #GPU #CUDA #cplusplus #ProbabilisticProgramming https://t.co/5kbCYFhPt1
CUDA-enabled packages for Birch are now available! (Previously it was necessary to compile from source for CUDA support.) #GPU #CUDA #MachineLearning #ProbabilisticProgramming #MonteCarlo https://t.co/o1YsQQzgaG
Benefits of Probabilistic Programming
https://t.co/AsDS4QYY27
#ProbabilisticProgramming #ProgrammingTools #MachineLearning #DeepLearning #DeepNeuralNetwork #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine
#MachineLearning has value & staying power but it's not optimal for every data-wrangling task. Our latest post explores #StatisticalModeling & #ProbabilisticProgramming and how to use domain expertise to model the processes underlying data
https://t.co/9EHO64wsOm #Python #PyData
#MarkovJunior is a #probabilisticprogramming language where programs are combinations of rewrite rules and inference is performed via constraint propagation.
@ExUtumno excellent job💫🖖
I published a new project about combining rewrite rules and solving constraint problems made of rewrite rules https://t.co/qmVviSgnrQ
#ProbabilisticProgramming sits in between the fields of #MachineLearning and #ProgrammingLanguages, and this means it's often challenging to communicate PPL research broadly to either of the ML and PL communities.
"Program Analysis of Probabilistic Programs"
https://t.co/YuKMdsZrkU
My PhD thesis is now available on arXiv!
Contains:
- A short intro to #BayesianInference
- An intro to #ProbabilisticProgramming with examples in different PPLs
- PPL program analysis papers with commentary
Modular probabilistic models via algebraic effects. ~ Minh Nguyen, Roly Perera, Meng Wang, Nicolas Wu. https://t.co/PeVdV7DrzM #Haskell #FunctionalProgramming #ProbabilisticProgramming
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