Scalable and efficient training of large convolutional neural networks with differential privacy Z Bu, J Mao, S Xu Advances in Neural Information Processing Systems 35, 38305-38318, 2022 | 32 | 2022 |
Sparse neural additive model: Interpretable deep learning with feature selection via group sparsity S Xu, Z Bu, P Chaudhari, IJ Barnett Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 12 | 2023 |
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks Z Bu, S Xu, K Chen AISTATS 2021; arXiv preprint arXiv:2010.13165, 2020 | 12 | 2020 |
Generalized AIC method based on higher-order moments and entropy of financial time series S Xu, M Shao, W Qiao, P Shang Physica A: Statistical Mechanics and its Applications 505, 1127-1138, 2018 | 6 | 2018 |
Asymptotic Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm K Chen, S Xu, Z Bu NeurIPS OPT 2020 workshop, 0 | 2* | |
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks S Xu AISTATS 2021; arXiv preprint arXiv:2011.00417, 2020 | 1 | 2020 |
Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing K Chen, Z Bu, S Xu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | | 2021 |