Sparsifying Stochasticity, Not Capacity: Partial Stochasticity via Deep Weight Factorization of Prior Scales
A Bayesian network method sparsifies stochastic parameters via prior-scale factorization while matching fully stochastic accuracy.
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Stories tagged #bayesian-neural-networks
Quenched Ensemble Sampling
Quenched Ensemble Sampling generalizes nested sampling's hard energy constraint to repulsive potentials, traversing first-order phase transitions where tempering fails.