Piecewise linear activations substantially shape the loss surfaces of neural networks F He*, B Wang*, D Tao
International Conference on Learning Representations (ICLR) 2020, 2020
30 2020 The implicit bias for adaptive optimization algorithms on homogeneous neural networks B Wang, Q Meng, W Chen, TY Liu
International Conference on Machine Learning, 10849-10858, 2021
28 2021 Machine-learning nonconservative dynamics for new-physics detection Z Liu, B Wang, Q Meng, W Chen, M Tegmark, TY Liu
Physical Review E 104 (5), 055302, 2021
25 2021 Provable adaptivity in adam B Wang, Y Zhang, H Zhang, Q Meng, ZM Ma, TY Liu, W Chen
arXiv preprint arXiv:2208.09900, 2022
20 2022 Convergence of adagrad for non-convex objectives: Simple proofs and relaxed assumptions B Wang, H Zhang, Z Ma, W Chen
The Thirty Sixth Annual Conference on Learning Theory, 161-190, 2023
18 2023 Tighter generalization bounds for iterative differentially private learning algorithms F He*, B Wang*, D Tao
Uncertainty in Artificial Intelligence (UAI) 2021, 2021
15 2021 Creating training sets via weak indirect supervision J Zhang, B Wang, X Song, Y Wang, Y Yang, J Bai, A Ratner
ICLR 2022, 0
15 * Does Momentum Change the Implicit Regularization on Separable Data? B Wang, Q Meng, H Zhang, R Sun, W Chen, ZM Ma
Neurips 2022, 0
11 * Robustness, privacy, and generalization of adversarial training F He, S Fu, B Wang, D Tao
arXiv preprint arXiv:2012.13573, 2020
8 2020 On the trade-off of intra-/inter-class diversity for supervised pre-training J Zhang, B Wang, Z Hu, PWW Koh, AJ Ratner
Advances in Neural Information Processing Systems 36, 2024
7 2024 -GNN: incorporating ring priors into molecular modelingJ Zhu, K Wu, B Wang, Y Xia, S Xie, Q Meng, L Wu, T Qin, W Zhou, H Li, ...
The Eleventh International Conference on Learning Representations, 2022
7 2022 Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD B Wang, H Zhang, J Zhang, Q Meng, W Chen, TY Liu
35th Conference on Neural Information Processing Systems (Neurips 2021), 2021
7 2021 Closing the gap between the upper bound and lower bound of Adam's iteration complexity B Wang, J Fu, H Zhang, N Zheng, W Chen
Advances in Neural Information Processing Systems 36, 2024
6 2024 When and why momentum accelerates SGD: An empirical study J Fu, B Wang, H Zhang, Z Zhang, W Chen, N Zheng
arXiv preprint arXiv:2306.09000, 2023
3 2023 Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions X Cheng, B Wang, J Zhang, Y Zhu
Advances in Neural Information Processing Systems 36, 2024
1 2024