1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.DS2023
Sampling with Barriers: Faster Mixing via Lewis Weights
Khashayar Gatmiry, Jonathan Kelner, Santosh S. Vempala
We analyze Riemannian Hamiltonian Monte Carlo (RHMC) for sampling a polytope defined by inequalities in endowed with the metric defined by the Hessian of a convex barrie…
stat.ML2023
A Simple Proof of the Mixing of Metropolis-Adjusted Langevin Algorithm under Smoothness and Isoperimetry
Yuansi Chen, Khashayar Gatmiry
We study the mixing time of Metropolis-Adjusted Langevin algorithm (MALA) for sampling a target density on . We assume that the target density satisfies -isoperi…
cs.LG2022★ 1 cited
On the generalization of learning algorithms that do not converge
Nisha Chandramoorthy, Andreas Loukas, Khashayar Gatmiry +1
Generalization analyses of deep learning typically assume that the training converges to a fixed point. But, recent results indicate that in practice, the weights of deep neural ne…