3 papers
stat.AP2026
Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts
Luxu Liang, Xiang Li
The rapid advancement of large language models (LLMs) has made machine-generated text increasingly difficult to distinguish from human-written text. While recent studies explore le…
math.OC2025
Non-asymptotic convergence analysis of the stochastic gradient Hamiltonian Monte Carlo algorithm with discontinuous stochastic gradient with applications to training of ReLU neural networks
Luxu Liang, Ariel Neufeld, Ying Zhang
In this paper, we provide a non-asymptotic analysis of the convergence of the stochastic gradient Hamiltonian Monte Carlo (SGHMC) algorithm to a target measure in Wasserstein-1 and…
stat.ML2025
Enhancing Gradient-based Discrete Sampling via Parallel Tempering
Luxu Liang, Yuhang Jia, Feng Zhou
While gradient-based discrete samplers are effective in sampling from complex distributions, they are susceptible to getting trapped in local minima, particularly in high-dimension…