45 citations · 45 across the 2 of their papers we have counts for
2 papers
cs.LG2020
A new method for parameter estimation in probabilistic models: Minimum probability flow
Jascha Sohl-Dickstein, Peter Battaglino, Michael R. DeWeese
Fitting probabilistic models to data is often difficult, due to the general intractability of the partition function. We propose a new parameter fitting method, Minimum Probability…
cs.LG2009★ 45 cited
Minimum Probability Flow Learning
Jascha Sohl-Dickstein, Peter Battaglino, Michael R. DeWeese
Fitting probabilistic models to data is often difficult, due to the general intractability of the partition function and its derivatives. Here we propose a new parameter estimation…