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1903.09321
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WONDER: Weighted one-shot distributed ridge regression in high dimensions
International Conference on Machine Learning (ICML), 2019
22 March 2019
Guang Cheng
Yueqi Sheng
OffRL
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Papers citing
"WONDER: Weighted one-shot distributed ridge regression in high dimensions"
30 / 30 papers shown
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Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
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02 Feb 2022
Data splitting improves statistical performance in overparametrized regimes
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Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients
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The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression
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Daniel LeJeune
Richard G. Baraniuk
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Sparse sketches with small inversion bias
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Zhenyu Liao
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σ
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Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
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Hongyang R. Zhang
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Christopher Ré
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Canonical thresholding for non-sparse high-dimensional linear regression
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On the Optimal Weighted
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Ji Xu
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Optimal Regularization Can Mitigate Double Descent
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Preetum Nakkiran
Prayaag Venkat
Sham Kakade
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Ridge Regression: Structure, Cross-Validation, and Sketching
International Conference on Learning Representations (ICLR), 2019
Sifan Liu
Guang Cheng
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