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Shaogao Lv

Personalized Federated Learning via Amortized Bayesian Meta-Learning

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Jul 05, 2023
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Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix

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Jul 05, 2023
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Stability and Generalization of $\ell_p$-Regularized Stochastic Learning for GCN

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May 23, 2023
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SStaGCN: Simplified stacking based graph convolutional networks

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Nov 16, 2021
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Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches

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Oct 18, 2021
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Communication-efficient Byzantine-robust distributed learning with statistical guarantee

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Feb 28, 2021
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Generalization bounds for graph convolutional neural networks via Rademacher complexity

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Feb 20, 2021
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Financial Market Directional Forecasting With Stacked Denoising Autoencoder

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Dec 02, 2019
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Scalable kernel-based variable selection with sparsistency

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Feb 27, 2018
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A debiased distributed estimation for sparse partially linear models in diverging dimensions

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Aug 18, 2017
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