2 citations · 3 across the 18 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
stat.ML2026
Beyond Global Divergences: A Local-Mass Perspective on Bayesian Inference
Hanli Xu, Fengxiang He, Sarat Moka
Global objectives, such as KL divergence and ELBO, are widely used in Bayesian inference for measuring distributional discrepancy. This paper studies distributional ``local-mass be…
cs.DS2026
Uniform Sampling of Proper Graph Colorings via Soft Coloring and Partial Rejection Sampling
Sarat Moka, Ava Vahedi
We present a new algorithm for the exact uniform sampling of proper \(k\)-colorings of a graph on \(n\) vertices with maximum degree~\(Δ\). The algorithm is based on partial reject…
stat.ME2026
Parsimonious Subset Selection for Generalized Linear Models with Biomedical Applications
Anant Mathur, Benoit Liquet, Samuel Muller +1
High-dimensional biomedical studies require models that are simultaneously accurate, sparse, and interpretable, yet exact best subset selection for generalized linear models is com…