13 citations · 13 across the 4 of their papers we have counts for
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stat.CO2023
SpreadNUTS -- Moderate Dynamic Extension of Paths for No-U-Turn Sampling & Partitioning Visited Regions
Fareed Sheriff
Markov chain Monte Carlo (MCMC) methods have existed for a long time and the field is well-explored. The purpose of MCMC methods is to approximate a distribution through repeated s…
cs.LG2023
PartitionVAE -- a human-interpretable VAE
Fareed Sheriff, Sameer Pai
VAEs, or variational autoencoders, are autoencoders that explicitly learn the distribution of the input image space rather than assuming no prior information about the distribution…
cs.DS2023
Online variable-weight scheduling with preempting on jobs with linear and exponential penalties
Frederick Tang, Fareed Sheriff, Andrew Wang
We analyze the problem of job scheduling with preempting on weighted jobs that can have either linear or exponential penalties. We review relevant literature on the problem and cre…