My publications can also be found on my Google Scholar webpage.
2024
IJCAI. Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning. Chengqian Gao*, William de Vazelhes*, Hualin Zhang, Bin Gu, Zhiqiang Xu[Paper]
ICLR. New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions. Xinzhe Yuan, William de Vazelhes, Bin Gu, Huan Xiong[Paper][Supplementary and Code]
AAAI. Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery. William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu [Paper][Code][Poster][Slides]
AAAI. Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging. Hilal AlQuabeh, William de Vazelhes, Bin Gu
2023
NeurIPS. Direct Training of SNN using Local Zeroth Order Method. Bhaskar Mukhoty*, Velibor Bojković*,William de Vazelhes, Xiaohan Zhao, Giulia De Masi, Huan Xiong, Bin Gu [Paper][Code]
2022
NeurIPS. Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao-Tong Yuan, Bin Gu [Paper][Poster][Video][Supplemental and Code]
ICDM. Efficient Semi-Supervised Adversarial Training without Guessing Labels. Huimin Wu, William Vazelhes, Bin Gu [Paper]
2020
JMLR. metric-learn: Metric Learning Algorithms in Python. William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet [Github Repo][Paper][Video]