#bayesianml search results
Seeking arXiv endorser (stat.ML/cs.LG) for MCMC research: - Autonomous Bayesian inference on toroidal manifolds - NREM algorithm (auto-tuning epsilon, L) - Trio Consensus (XGBoost + LLM + Rules) - 12.9x ESS improvement, 98% convergence Code: TL40hC #BayesianML #MCMC
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. examples.rxinfer.com/categories/bas… #BayesianML #JuliaLang #RxInfer
Unlocking Predictions with Bayesian Machine Learning 📊🧠. This approach uses probability and statistics to improve decision making under uncertainty, providing a powerful framework for a wide range of applications from AI to risk assessment. #BayesianML #DataScience
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 aibrilliance.com.
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: arxiv.org/pdf/2406.05469 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: deepai.org/publication/ba… #ImageRetrieval #BayesianML #ML
deepai.org
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval
02/02/23 - We propose the first Bayesian encoder for metric learning. Rather than relying on neural amortization as done in prior works, we l...
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
Amazing learnings in Prof. @nipun_batra's talk on #bayesianML. It was a pleasant experience to attend in-person talks in such cool settings.
Both online and offline students are ready for the afternoon session on Bayesian #MachineLearning by Prof. @nipun_batra.
RT @AleksanderMolak: 🎈 The second part of #Medium series on modeling uncertainty in neural networks using @TensorFlow #Probability is out now! 🚀 Published by @TDataScience #bayesianML #machinelearning #python #TensorFlow #decision_science #uncerta…
Modeling uncertainty in neural networks with TensorFlow Probability by @AleksanderMolak buff.ly/3Ddf5FM
My first Arxiv submission on empirical study of applying Bayesian GLM for Bankruptcy prediction with expert in the loop arxiv.org/abs/2010.13892 #bayesianml :) #rstanarm @mcmc_stan
Fast Bayesian estimation of spatial count data models sciencedirect.com/science/articl… The proposed variation inference approach is around 45 to 50 times faster than MCMC on a regular eight-core processor. #statistics #bayesianML #variationalinference #approximateinference
thanks for your suggestion!! yeah, probably 😆.. As explained in my PhD thesis, Bayes is consistent with Axiom of Probability. Hence Bayes is Probability! But we also need algorithms in Machine learning to compute it. So the tag #BayesianML seems valid. arxiv.org/abs/1811.02506
Viet, thanks for sharing. Would you call this #BayesianML machine learning?
Maximum posterior probability (MAP) acts like regularization for Maximum Likelihood probability #BayesianML
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
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
Unlocking Predictions with Bayesian Machine Learning 📊🧠. This approach uses probability and statistics to improve decision making under uncertainty, providing a powerful framework for a wide range of applications from AI to risk assessment. #BayesianML #DataScience
🎯 New Contextual Multi-Armed Bandits example in RxInferExamples.jl! Fresh take using message passing inference. No MCMC, no hyperparameters - just principled decision making. examples.rxinfer.com/categories/bas… #BayesianML #JuliaLang #RxInfer
Elevate your AI with Bayesian ML.📈✨ Unlock robust predictions and insights. #BayesianML #AI #MachineLearning #DataScience #PredictiveAnalytics #AIbrilliance
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 aibrilliance.com.
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