Follow
Wenlong Mou
Title
Cited by
Cited by
Year
Efficient private ERM for smooth objectives
J Zhang, K Zheng, W Mou, L Wang
arXiv preprint arXiv:1703.09947, 2017
962017
Generalization bounds of sgld for non-convex learning: Two theoretical viewpoints
W Mou, L Wang, X Zhai, K Zheng
Conference on Learning Theory, 605-638, 2018
832018
Differentially private clustering in high-dimensional euclidean spaces
MF Balcan, T Dick, Y Liang, W Mou, H Zhang
International Conference on Machine Learning, 322-331, 2017
512017
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm.
W Mou, YA Ma, MJ Wainwright, PL Bartlett, MI Jordan
J. Mach. Learn. Res. 22, 42:1-42:41, 2021
412021
Collect at once, use effectively: Making non-interactive locally private learning possible
K Zheng, W Mou, L Wang
International Conference on Machine Learning, 4130-4139, 2017
322017
Improved bounds for discretization of Langevin diffusions: Near-optimal rates without convexity
W Mou, N Flammarion, MJ Wainwright, PL Bartlett
Bernoulli 28 (3), 1577-1601, 2022
252022
On linear stochastic approximation: Fine-grained Polyak-Ruppert and non-asymptotic concentration
W Mou, CJ Li, MJ Wainwright, PL Bartlett, MI Jordan
Conference on Learning Theory, 2947-2997, 2020
232020
Dropout training, data-dependent regularization, and generalization bounds
W Mou, Y Zhou, J Gao, L Wang
International conference on machine learning, 3645-3653, 2018
182018
An efficient sampling algorithm for non-smooth composite potentials
W Mou, N Flammarion, MJ Wainwright, PL Bartlett
arXiv preprint arXiv:1910.00551, 2019
152019
Root-sgd: Sharp nonasymptotics and asymptotic efficiency in a single algorithm
CJ Li, W Mou, MJ Wainwright, MI Jordan
arXiv preprint arXiv:2008.12690, 2020
82020
A diffusion process perspective on posterior contraction rates for parameters
W Mou, N Ho, MJ Wainwright, P Bartlett, MI Jordan
arXiv preprint arXiv:1909.00966, 2019
72019
The impact of local oscillator frequency jitter and laser linewidth to ultra high baud rate coherent systems
R Zhang, WJ Jiang, K Kuzmin, Y Weng, W Mou, GK Chang, WI Way
Journal of Lightwave Technology 38 (6), 1138-1147, 2019
62019
On the sample complexity of reinforcement learning with policy space generalization
W Mou, Z Wen, X Chen
arXiv preprint arXiv:2008.07353, 2020
52020
Optimal oracle inequalities for solving projected fixed-point equations
W Mou, A Pananjady, MJ Wainwright
arXiv preprint arXiv:2012.05299, 2020
42020
Sampling for bayesian mixture models: Mcmc with polynomial-time mixing
W Mou, N Ho, MJ Wainwright, PL Bartlett, MI Jordan
arXiv preprint arXiv:1912.05153, 2019
42019
Rate redundancy and entropy allocation for PAS-OFDM based mobile fronthaul
R Zhang, YW Chen, W Mou, GK Chang
Journal of Lightwave Technology 38 (16), 4260-4269, 2020
32020
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
W Mou, A Pananjady, MJ Wainwright, PL Bartlett
arXiv preprint arXiv:2112.12770, 2021
22021
Entropy Allocation Optimization for PS-OFDM With Constellation Partitioning Based Modeling
R Zhang, YW Chen, W Mou, S Yao, GK Chang
Journal of Lightwave Technology 38 (21), 6024-6030, 2020
22020
A refined analysis of lsh for well-dispersed data points
W Mou, L Wang
2017 Proceedings of the Fourteenth Workshop on Analytic Algorithmics and …, 2017
22017
Stable memory allocation in the hippocampus: Fundamental limits and neural realization
W Mou, Z Wang, L Wang
arXiv preprint arXiv:1612.04659, 2016
22016
The system can't perform the operation now. Try again later.
Articles 1–20