| metric-learn: Metric learning algorithms in python W De Vazelhes, CJ Carey, Y Tang, N Vauquier, A Bellet Journal of Machine Learning Research 21 (138), 1-6, 2020 | 81 | 2020 |
| Direct training of snn using local zeroth order method B Mukhoty, V Bojkovic, W de Vazelhes, X Zhao, G De Masi, H Xiong, B Gu Advances in Neural Information Processing Systems 36, 18994-19014, 2023 | 10 | 2023 |
| Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity W de Vazelhes, H Zhang, H Wu, X Yuan, B Gu Advances in Neural Information Processing Systems 35, 22589-22601, 2022 | 5 | 2022 |
| Efficient Semi-Supervised Adversarial Training without Guessing Labels H Wu, W Vazelhes, B Gu 2022 IEEE International Conference on Data Mining (ICDM), 538-547, 2022 | 1 | 2022 |
| Stagewise Training With Exponentially Growing Training Sets B Gu, H AlQuabeh, W de Vazelhes, Z Huo, H Huang IEEE Transactions on Neural Networks and Learning Systems, 2024 | | 2024 |
| Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning C Gao, W de Vazelhes, H Zhang, B Gu, Z Xu arXiv preprint arXiv:2405.01615, 2024 | | 2024 |
| Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging H AlQuabeh, W de Vazelhes, B Gu Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 10821 …, 2024 | | 2024 |
| Iterative Regularization with k-Support Norm: an Important Complement to Sparse Recovery W de Vazelhes, B Mukhoty, XT Yuan, B Gu Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11731 …, 2024 | | 2024 |
| On Iterative Hard-Thresholding: Gradient Estimation and Non-Convex Projections W Vazelhes | | 2024 |
| ML702 Project Literature review: Gradient-based Bi-level optimization Z Chen, W de Vazelhes, B Sun, A Dhabi | | |
| Attack for Good: Black-box Data Poisoning for Fairness Z Chen, W de Vazelhes, B Sun, A Dhabi | | |
| Query Efficient Black-Box Adversarial Attack with Automatic Region Selection Y YAO, W Shi, Z Wu, H Zhang, W de Vazelhes, Y Fan, H Xiong, Y Chang, ... | | |
| Optimization over Sparse Restricted Convex Sets via Two Steps Projection W de Vazelhes, X Yuan, B Gu | | |
| New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions X Yuan, W de Vazelhes, B Gu, H Xiong The Twelfth International Conference on Learning Representations, 0 | | |
Bin GuJilin University確認したメール アドレス: jlu.edu.cn