2.3k citations · 2.7k across the 38 of their papers we have counts for
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Sharp convergence rates for Langevin dynamics in the nonconvex setting
Xiang Cheng, Niladri S. Chatterji, Yasin Abbasi-Yadkori +2
We study the problem of sampling from a distribution , where the function is -smooth everywhere and -strongly convex outside a ball…
Online learning with kernel losses
Aldo Pacchiano, Niladri S. Chatterji, Peter L. Bartlett
We present a generalization of the adversarial linear bandits framework, where the underlying losses are kernel functions (with an associated reproducing kernel Hilbert space) rath…
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo
Niladri S. Chatterji, Nicolas Flammarion, Yi-An Ma +2
We provide convergence guarantees in Wasserstein distance for a variety of variance-reduction methods: SAGA Langevin diffusion, SVRG Langevin diffusion and control-variate underdam…