217 citations · 1.4k across the 33 of their papers we have counts for
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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.LG2020
Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses
Charles G. Frye, James Simon, Neha S. Wadia +3
Despite the fact that the loss functions of deep neural networks are highly non-convex, gradient-based optimization algorithms converge to approximately the same performance from m…