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07/12/2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Energy-based models are a simple yet powerful class of probabilistic mod...
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12/31/2020
Flexible model composition in machine learning and its implementation in MLJ
A graph-based protocol called `learning networks' which combine assorted...
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10/22/2020
Model updating after interventions paradoxically introduces bias
Machine learning is increasingly being used to generate prediction model...
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07/23/2020
MLJ: A Julia package for composable Machine Learning
MLJ (Machine Learing in Julia) is an open source software package provid...
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11/21/2016
Measuring Sample Quality with Diffusions
Standard Markov chain Monte Carlo diagnostics, like effective sample siz...
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09/14/2016
Relativistic Monte Carlo
Hamiltonian Monte Carlo (HMC) is a popular Markov chain Monte Carlo (MCM...
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01/02/2015
