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Wenlong Mou
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Cited by
Year
Efficient private ERM for smooth objectives
J Zhang, K Zheng, W Mou, L Wang
arXiv preprint arXiv:1703.09947, 2017
1132017
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
1072018
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
632017
High-order Langevin diffusion yields an accelerated MCMC algorithm
W Mou, YA Ma, MJ Wainwright, PL Bartlett, MI Jordan
The Journal of Machine Learning Research 22 (1), 1919-1959, 2021
552021
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
362017
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
342022
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
342020
Dropout training, data-dependent regularization, and generalization bounds
W Mou, Y Zhou, J Gao, L Wang
International conference on machine learning, 3645-3653, 2018
242018
An Efficient Sampling Algorithm for Non-smooth Composite Potentials
W Mou, N Flammarion, MJ Wainwright, PL Bartlett
Journal of Machine Learning Research 23 (233), 1-50, 2022
162022
Root-sgd: Sharp nonasymptotics and asymptotic efficiency in a single algorithm
CJ Li, W Mou, M Wainwright, M Jordan
Conference on Learning Theory, 909-981, 2022
122022
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
112019
Optimal Oracle Inequalities for Projected Fixed-Point Equations, with Applications to Policy Evaluation
W Mou, A Pananjady, MJ Wainwright
Mathematics of Operations Research, 2022
102022
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
92019
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
W Mou, A Pananjady, MJ Wainwright, PL Bartlett
arXiv preprint arXiv:2112.12770, 2021
82021
On the sample complexity of reinforcement learning with policy space generalization
W Mou, Z Wen, X Chen
arXiv preprint arXiv:2008.07353, 2020
82020
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
52019
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
42020
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
42020
Optimal variance-reduced stochastic approximation in Banach spaces
W Mou, K Khamaru, MJ Wainwright, PL Bartlett, MI Jordan
arXiv preprint arXiv:2201.08518, 2022
32022
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency
W Mou, MJ Wainwright, PL Bartlett
arXiv preprint arXiv:2209.13075, 2022
22022
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Articles 1–20