16 citations · 18 across the 12 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
Convergence Properties of Natural Gradient Descent for Minimizing KL Divergence
Adwait Datar, Nihat Ay
The Kullback-Leibler (KL) divergence plays a central role in probabilistic machine learning, where it commonly serves as the canonical loss function. Optimization in such settings…
math.ST2025
Information Geometry for Wasserstein KL Divergence of Gaussian Measures on
Adwait Datar, Nihat Ay
We study the Wasserstein Kullback--Leibler divergence (WKL divergence) on the manifold of nondegenerate Gaussian measures over . In the canonical-divergence constructi…