2 papers
stat.ML2025
Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods
Conor Rosato, Harvinder Lehal, Simon Maskell +2
Bayesian inference with Markov Chain Monte Carlo (MCMC) is challenging when the likelihood function is irregular and expensive to compute. We explore several sampling algorithms th…
cs.NI2024
Network Calculus Characterization of Congestion Control for Time-Varying Traffic
Harvinder Lehal, Natchanon Luangsomboon, Jörg Liebeherr
Models for the dynamics of congestion control generally involve systems of coupled differential equations. Universally, these models assume that traffic sources saturate the maximu…