#probabilisticmodeling search results
On the core of Variational Inference by Prof. David Blei @blei_lab @DSI_Columbia #MachineLearning #ProbabilisticModeling #MLSS




Bayesian Reasoning and Machine Learning - freecomputerbooks.com/Bayesian-Reaso… Look for "Read and Download Links" section to download. #ProbabilisticModeling #BayesianReasoning #Bayesian #machinelearning #ProbabilisticMachineLearning #DeepLearning

Representing @HaystaxTech at the 2019 TomTom Applied ML conference in Charlottesville, VA. #ProbabilisticModeling


.@TomTomFest Applied ML conference has dedicated a whole block for Probabilistic Programming. Nice! #ProbabilisticModeling

#mdpientropy "Self-Supervised Variational Auto-Encoders" mdpi.com/1099-4300/23/6… deep #generativemodeling #probabilisticmodeling #deeplearning

Kristian Kersting (TU Darmstadt) poses a fundamental question: What if one is not a statistician? How do we enable people who are non-statisticians to use #ProbabilisticProgramming languages at work? #ProbProg #ProbabilisticModeling

#mdpientropy "Probabilistic Models with Deep Neural Networks" mdpi.com/1099-4300/23/1… deep #probabilisticmodeling #variationalinference #neuralnetworks #latentvariablemodels #Bayesianlearning

Up first @TomTomFest ML is @AustinRochford making a case for the elegance of Hamiltonian Monte Carlo. #ProbabilisticModeling

Josh Tenenbaum(MIT) talks about how to leverage #ProbabilisticProgramming languages with the intuitive physics engine to achieve human-like intelligence. #ProbProg #ProbabilisticModeling

"Despite the recent success in #probabilisticmodeling generative models trained using traditional inference techniques struggle to adapt to new distributions" "generalize across several related #distribution-s" #MetaVAE amortized #VariationalInference #ML #NonStationaryLearning

𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗨𝗻𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 is here! Discover how probabilistic modeling, powered by ketteQ’s PolymatiQ™ solver, transforms supply chain planning. 🔗 Download now: hubs.li/Q033MFc-0 #SupplyChainInnovation #ProbabilisticModeling #ketteQ

Mesh Refinement as Probabilistic Learning dl.begellhouse.com/journals/55804… #MachineLearning #ProbabilisticModeling #MeshRefinement #AIResearch

Math makes AI accountable, because math leaves a trace. Probabilistic modeling doesn’t just predict. It explains. 👉 landing.packtpub.com/mathematics-of… #ML #ProbabilisticModeling #100DaysOfMathematicsOfML #AIaccountability

Mesh Refinement as Probabilistic Learning dl.begellhouse.com/journals/55804… #MachineLearning #ProbabilisticModeling #MeshRefinement #AIResearch

Zoubin Ghahramani states that AI inspired by the brain is a wrong way to think about AI. Rather we should focus on how we could use AI to augment human intelligence. #ProbabilisticModeling #ProbabilisticProgramming #ProbProg
Gluon Time Series (GluonTS) is the Gluon toolkit for probabilistic time series modeling, focusing on deep learning-based models. gluon-ts.mxnet.io #GluonTS #probabilisticTimeSeriesModeling #probabilisticModeling #DeepLearning #abstraction

Up next at #ProbProg is @djsyclik talking about @mcmc_stan. Apparently Stan is quite popular, it's mentioned in an episode of Billions on Showtime. #ProbabilisticModeling #ProbabilisticProgramming
Limitations of deep learning by Zoubin Ghahramani. #ProbabilisticProgramming #ProbabilisticModeling #ProbProg
Math makes AI accountable, because math leaves a trace. Probabilistic modeling doesn’t just predict. It explains. 👉 landing.packtpub.com/mathematics-of… #ML #ProbabilisticModeling #100DaysOfMathematicsOfML #AIaccountability

#ProbabilisticModeling #GapsInGI #MachineLearningIntegration #UncertaintyModeling #ClusterQueues #DataDrivenDecisions #PredictiveAccuracy #FlexibleInterconnections #ResilientProjects #CostEfficiency
Mesh Refinement as Probabilistic Learning dl.begellhouse.com/journals/55804… #MachineLearning #ProbabilisticModeling #MeshRefinement #AIResearch

Mesh Refinement as Probabilistic Learning dl.begellhouse.com/journals/55804… #MachineLearning #ProbabilisticModeling #MeshRefinement #AIResearch

9/10 ⚠️this is a probabilistic model, not a guarantee. 💸 Memecoins are inherently risky. This is about enhancing my odds, not eliminating risk. #ProbabilisticModeling #CryptoRisk
𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗨𝗻𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 is here! Discover how probabilistic modeling, powered by ketteQ’s PolymatiQ™ solver, transforms supply chain planning. 🔗 Download now: hubs.li/Q033MFc-0 #SupplyChainInnovation #ProbabilisticModeling #ketteQ

📣 Call for reading: "Probabilistic Logic Models for the Lightning Network" by Damiano Azzolini and Fabrizio Riguzzi 👉 Find more at the following link: mdpi.com/2410-387X/6/2/… #LightningNetwork #ProbabilisticModeling

Bayesian Reasoning and Machine Learning - freecomputerbooks.com/Bayesian-Reaso… Look for "Read and Download Links" section to download. #ProbabilisticModeling #BayesianReasoning #Bayesian #machinelearning #ProbabilisticMachineLearning #DeepLearning

Nikolay Malkin, finishing postdoc @Mila_Quebec with #YoshuaBengio and now Prof @EdinburghUni is looking for PhD students 24-25. Certainly one of the brightest minds these days in #ProbabilisticModeling and #MachineLearning. malkin1729.github.io

Register for #ISSS2022 in Cincinnati! Among 11 tutorials: Dynamic Probabilistic Modeling with Markov Chains, with presenter Patrick Oliver of @LockheedMartin Missiles & Fire Control. system-safety.org/page/annual-co… #MarkovChain #ProbabilisticModeling #systemsafety

This paper proposes a formal framework which allows one to move between state and action labeled CTMCs while preserving strong forward, weak forward, backward and weak backward bisimulation. #formalmethods #modelchecking #probabilisticmodeling
#mdpientropy "Self-Supervised Variational Auto-Encoders" mdpi.com/1099-4300/23/6… deep #generativemodeling #probabilisticmodeling #deeplearning

#mdpientropy "Probabilistic Models with Deep Neural Networks" mdpi.com/1099-4300/23/1… deep #probabilisticmodeling #variationalinference #neuralnetworks #latentvariablemodels #Bayesianlearning

#mdpienergies Article Enabling Methodologies for Predictive Power System Resilience Analysis in the Presence of Extreme Wind Gusts 👉mdpi.com/1996-1073/13/1… #powersystemsresilienc #probabilisticmodeling #smartgrid @UstaUnisannio 💡More related articles: mdpi.com/journal/energi…

"Despite the recent success in #probabilisticmodeling generative models trained using traditional inference techniques struggle to adapt to new distributions" "generalize across several related #distribution-s" #MetaVAE amortized #VariationalInference #ML #NonStationaryLearning

Reread @betanalpha's #ProbabilisticModeling & #StatisticalInference case study today. I'll easily confess it was hard in some sections, but it's an awesome resource. Helped me understand things I hadn't before -- or thought I had. Definitely recommend it! betanalpha.github.io/assets/case_st…
Bayesian Reasoning and Machine Learning - freecomputerbooks.com/Bayesian-Reaso… Look for "Read and Download Links" section to download. #ProbabilisticModeling #BayesianReasoning #Bayesian #machinelearning #ProbabilisticMachineLearning #DeepLearning

On the core of Variational Inference by Prof. David Blei @blei_lab @DSI_Columbia #MachineLearning #ProbabilisticModeling #MLSS




#mdpientropy "Self-Supervised Variational Auto-Encoders" mdpi.com/1099-4300/23/6… deep #generativemodeling #probabilisticmodeling #deeplearning

#mdpientropy "Probabilistic Models with Deep Neural Networks" mdpi.com/1099-4300/23/1… deep #probabilisticmodeling #variationalinference #neuralnetworks #latentvariablemodels #Bayesianlearning

Representing @HaystaxTech at the 2019 TomTom Applied ML conference in Charlottesville, VA. #ProbabilisticModeling


Using Pomegrante to uncover who #GossipGirl is 🙈 (Dan) #DataScience #ProbabilisticModeling in #Python #DSESummit2017 github.com/jmschrei/pomeg…




.@TomTomFest Applied ML conference has dedicated a whole block for Probabilistic Programming. Nice! #ProbabilisticModeling

A tutorial on Variational Inference for fast Bayesian estimation of complex models combined with #BigData by Tamara Broderick. #ProbabilisticModeling #ProbabilisticProgramming #DataScience #MachineLearning facebook.com/11889627195823…




Five reason why @colindcarroll is excited about the latest release of #PyMC3. Check model initialization, Visualize your models, & Sample from the prior in absence of data, etc. buff.ly/2LJRfH6 #ProbabilisticModeling #ProbabilisticProgramming #DataScience #MachineLearning



Math makes AI accountable, because math leaves a trace. Probabilistic modeling doesn’t just predict. It explains. 👉 landing.packtpub.com/mathematics-of… #ML #ProbabilisticModeling #100DaysOfMathematicsOfML #AIaccountability

Kristian Kersting (TU Darmstadt) poses a fundamental question: What if one is not a statistician? How do we enable people who are non-statisticians to use #ProbabilisticProgramming languages at work? #ProbProg #ProbabilisticModeling

Up first @TomTomFest ML is @AustinRochford making a case for the elegance of Hamiltonian Monte Carlo. #ProbabilisticModeling

Josh Tenenbaum(MIT) talks about how to leverage #ProbabilisticProgramming languages with the intuitive physics engine to achieve human-like intelligence. #ProbProg #ProbabilisticModeling

End of Day 1 at #ProbProg (buff.ly/2yejHeM) at MIT: Meet & greet, tutorials, developer meetups, & consulting sessions. Great running into old & new friends @colindcarroll @stefan_webb @willwolf_ @djsyclik #ProbabilisticProgramming #ProbabilisticModeling


#mdpienergies Article Enabling Methodologies for Predictive Power System Resilience Analysis in the Presence of Extreme Wind Gusts 👉mdpi.com/1996-1073/13/1… #powersystemsresilienc #probabilisticmodeling #smartgrid @UstaUnisannio 💡More related articles: mdpi.com/journal/energi…

Register for #ISSS2022 in Cincinnati! Among 11 tutorials: Dynamic Probabilistic Modeling with Markov Chains, with presenter Patrick Oliver of @LockheedMartin Missiles & Fire Control. system-safety.org/page/annual-co… #MarkovChain #ProbabilisticModeling #systemsafety

Another great talk by Prof. @ChrisBishopMSFT on model-based #MachineLearning buff.ly/2mEzmyo. Useful especially for new comers to the field of ML. Key takeaway: Build a bespoke model for your problem. #ProbabilisticModeling #ProbabilisticProgramming #DataScience



Nikolay Malkin, finishing postdoc @Mila_Quebec with #YoshuaBengio and now Prof @EdinburghUni is looking for PhD students 24-25. Certainly one of the brightest minds these days in #ProbabilisticModeling and #MachineLearning. malkin1729.github.io

Gluon Time Series (GluonTS) is the Gluon toolkit for probabilistic time series modeling, focusing on deep learning-based models. gluon-ts.mxnet.io #GluonTS #probabilisticTimeSeriesModeling #probabilisticModeling #DeepLearning #abstraction

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