Top Tweets for #BayesianML
This tutorial breaks down how to build, train, and customize GPyTorch models step-by-step—from defining kernels and likelihoods to optimizing hyperparameters and creating custom kernels.
#MachineLearning #GaussianProcesses #GPyTorch #BayesianML
I just published Part 1: Understanding Gaussian Processes from Scratch — From Priors to Surrogate Models and Beyond
https://t.co/V9aM0cVuIK
#MachineLearning #GaussianProcesses #SurrogateModels #BayesianML
Bayesian methods quantify uncertainty in predictions, not just point estimates. Knowing confidence matters as much as knowing predictions. Probabilistic intelligence. #MachineLearningAlgorithms #BayesianML #UncertaintyQuantification
Great visit with the @bayesgroup in Bremen! 🚀 So many inspiring discussions on dynamic systems & probabilistic methods. Huge thanks to Dmitry Vetrov & the whole team for the warm welcome. Excited for future collaborations!
#Collaboration #Innovation #BayesianML

🎯 New Contextual Multi-Armed Bandits example in RxInferExamples.jl!
Fresh take using message passing inference.
No MCMC, no hyperparameters - just principled decision making.
https://t.co/DhH1MrL6Wx
#BayesianML #JuliaLang #RxInfer

Bayesian ML acts like a detective it starts with a hunch, then sharpens it using data clues over time. Super clever stuff, loving it! #BayesianML #DataFan
Explore Bayesian ML! 📊🤖 Uses probability to model uncertainty and update beliefs with new data. More robust and flexible than traditional methods. #BayesianML #AI #MachineLearning #Aibrilliance. Learn more at https://t.co/GcG9HYtbLz.

Elevate your AI with Bayesian ML.📈✨ Unlock robust predictions and insights. #BayesianML #AI #MachineLearning #DataScience #PredictiveAnalytics #AIbrilliance

Triggered by some recent papers, Nick and I wrote about Deep Ensembles, Bayes ensembles, and PAC-Bayesian ensembling:
https://t.co/m1AzX3qq5R
Let us know what you think.
#deeplearning #PACBayes #BayesianML #ML
Happy to share that I completed the prestigious Oxford Machine Learning Summer School!
I took the ML for Finance specialization that covered the Fundamentals of #MachineLearning, #BayesianML, #AppliedFinanceResearch, #RepresentationLearning.
@GlobalGoalsAI

🤔Uncertainty in image retrieval? 🧐Frederik Warburg et al. got you covered with their new paper on Bayesian Metric Learning! 🤓Check it out: https://t.co/XSXEK363QB #ImageRetrieval #BayesianML #ML
From my experience, applied ML researchers should also get as deep as possible into the math of it. A single insight from math can save a day of experiments that arrive at the same conclusion with lesser confidence. #BayesianML
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