Matthew X. Burns

activity

20242026

most citedGeneral Oscillator-Based Ising Machine Models with Phase-Amplitude Dynamics and Polynomial Interactions

4 citations · 4 across the 7 of their papers we have counts for

collaborators

Showing 2026Show all

3 papers · 1 filter

stat.ML2026

Anchored Stein Variational Gradient Descent Algorithm for Non-smooth Sampling

Thanh Dang, Matthew X. Burns, Jiaming Liang

We introduce a Stein variational framework for sampling from a target density $p \propto e^{- U}$ when the target potential $U$ is possibly non-smooth. The key idea is to introduce a…

math.OC2026

Accuracy Certificates for Convex Optimization at Accelerated Rates via Primal-Dual Averaging

Matthew X. Burns, Jiaming Liang

Many works in convex optimization provide rates for achieving a small primal gap. However, this quantity is typically unavailable in practice. In this work, we show that solving a…

math.OC2026

Improved Analysis of Restarted Accelerated Gradient and Augmented Lagrangian Methods via Inexact Proximal Point Frameworks

Matthew X. Burns, Jiaming Liang

This paper studies a class of double-loop (inner-outer) algorithms for convex composite optimization. For unconstrained problems, we develop a restarted accelerated composite gradi…