de Vazelhes, William

8 publications

ICML 2025 Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees William De Vazelhes, Xiaotong Yuan, Bin Gu

IJCAI 2024 Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu

AAAI 2024 Iterative Regularization with K-Support Norm: An Important Complement to Sparse Recovery William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu

AAAI 2024 Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging Hilal AlQuabeh, William de Vazelhes, Bin Gu

ICLR 2024 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

NeurIPS 2023 Direct Training of SNN Using Local Zeroth Order Method Bhaskar Mukhoty, Velibor Bojkovic, William de Vazelhes, Xiaohan Zhao, Giulia De Masi, Huan Xiong, Bin Gu

NeurIPS 2022 Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity William de Vazelhes, Hualin Zhang, Huimin Wu, Xiaotong Yuan, Bin Gu

MLOSS 2020 Metric-Learn: Metric Learning Algorithms in Python William de Vazelhes, Cj Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet