William de Vazelhes

17 papers A* 8Journal 9
YearRankTypeTitle / Venue / Authors
2025 A* conf
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees.
ICML
William de Vazelhes, Xiaotong Yuan, Bin Gu
2025 J jnl
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees.
CoRR
William de Vazelhes, Xiao-Tong Yuan, Bin Gu
2025 J jnl
Stagewise Training With Exponentially Growing Training Sets.
IEEE Trans. Neural Networks Learn. Syst.
Bin Gu, Hilal AlQuabeh, William de Vazelhes, Zhouyuan Huo, Heng Huang
2024 A* conf
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning.
IJCAI
Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu
2024 J jnl
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning.
CoRR
Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu
2024 J jnl
Iterative Regularization with k-Support Norm: An Important Complement to Sparse Recovery.
CoRR
William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu
2024 A* conf
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery.
AAAI
William de Vazelhes, Bhaskar Mukhoty, Xiao-Tong Yuan, Bin Gu
2024 A* conf
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging.
AAAI
Hilal AlQuabeh, William de Vazelhes, Bin Gu
2024 J jnl
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging.
CoRR
Hilal AlQuabeh, William de Vazelhes, Bin Gu
2024 A* conf
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions.
ICLR
Xinzhe Yuan, William de Vazelhes, Bin Gu, Huan Xiong
2023 A* conf
Direct Training of SNN using Local Zeroth Order Method.
NeurIPS
Bhaskar Mukhoty, Velibor Bojkovic, William de Vazelhes, Xiaohan Zhao, Giulia De Masi, Huan Xiong, Bin Gu
2023 J jnl
Energy Efficient Training of SNN using Local Zeroth Order Method.
CoRR
Bhaskar Mukhoty, Velibor Bojkovic, William de Vazelhes, Giulia De Masi, Huan Xiong, Bin Gu
2022 A* conf
Efficient Semi-Supervised Adversarial Training without Guessing Labels.
ICDM
Huimin Wu, William de Vazelhes, Bin Gu
2022 A* conf
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity.
NeurIPS
William de Vazelhes, Hualin Zhang, Huimin Wu, Xiaotong Yuan, Bin Gu
2022 J jnl
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity.
CoRR
William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao-Tong Yuan, Bin Gu
2020 J jnl
metric-learn: Metric Learning Algorithms in Python.
J. Mach. Learn. Res.
William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet
2019 J jnl
metric-learn: Metric Learning Algorithms in Python.
CoRR
William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet