#probabilisticprogramming search results
Two prisoners are sitting in a dark cell watching a wall. One is looking at the star, the other is trying to infer the boundaries of the window. Preparing a presentation on #probabilisticprogramming.
Greta: #ProbabilisticProgramming in #R greta-dev.github.io/greta/index.ht… Based on #TensorFlow with very nice #PyMC3-style model definition syntax.
RT Bayesian Logistic Regression dlvr.it/SCbwFC #logisticregression #julialang #probabilisticprogramming
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
RT Machine Learning Mini-Project dlvr.it/Rpvx8p #forecastingmodels #probabilisticprogramming #regression #tensorflow
We use #probabilisticprogramming extensively to solve this:👇 #AIEthics is an imperative for #SafetyFirst #AI #BigData #Python #RStats #Java #JavaScript #Linux #100DaysOfCode #robots #robotics #tech #ML #technologies #ROS #SLAM #autonomous #SelfDrivingCars #DeepLearning #Math
Why is probabilistic programming so powerful? #AI pioneer Stuart Russell, @UCBerkeley and @gemmamilne, @ucl joined #CogX2021 to discuss the game-changing potential of #probabilisticprogramming, and why it could help advance programming culture. hubs.la/H0TMQYY0
Benefits of Probabilistic Programming zcu.io/33ie #ProbabilisticProgramming #ProgrammingTools #MachineLearning #DeepLearning #DeepNeuralNetwork #AI #AINews #AnalyticsInsight #AnalyticsInsightMagazine
A short preview of POPL, in St.Gallen today: Gabriele Vanoni presents his work on Bayesian Networks (exactly!) #probabilisticprogramming
Josh Tenenbaum(MIT) talks about how to leverage #ProbabilisticProgramming languages with the intuitive physics engine to achieve human-like intelligence. #ProbProg #ProbabilisticModeling
Probabilistic data structures are powerful tools for approaching problems that would otherwise be computationally prohibitive. Even so, it takes careful engineering to use them effectively. Go more in-depth: bit.ly/3ivfMR9 #Probabilisticprogramming
Our new survey bridging the gap between Statistical Relational and #NeuroSymbolic #AI is now available on arxiv arxiv.org/abs/2003.08316 Many concepts from star ai and #probabilisticprogramming carry over to neurosymbolic @sebdumancic @giuseppe__marra @ManhaeveRobin
I am not sure how this list gets made, but looks right to me 😉 #RStats #bayes #probabilisticprogramming bookauthority.org/books/beginner…
Absolute pleasure to introduce our final speaker at the #DifferentiableProgramming workshop @NeurIPSConf 2021: Yuan Zhou (@yuaanzhou)! Yuan will speak about symbolic parallel adaptive importance sampling for #ProbabilisticProgramming analysis! 🎲
MXFusion: modular probabilistic programming library at #NeurIPS open source software workshop - great work by Eric Meissner github.com/amzn/MXFusion and Zhenwen Dai @AmazonUK #MachineLearning #probabilisticprogramming
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
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