ld 2
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A Detailed Theoretical Analysis
Curves only represents the process of the training phase.
Scalable Heterophilous Graph Neural Network with Decoupled Embeddings
However, this assumption does not always hold in practice.
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Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction Wei Jiang 1, Sifan Y ang 1,2, Wenhao Y ang
Sign-based Stochastic V ariance Reduction (SSVR) method, which employs variance reduction estimators to track gradients and leverages their signs to update.
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Efficient Projection-Free Algorithms for Saddle Point Problems
The Frank-Wolfe algorithm is a classic method for constrained optimization problems.
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Decentralized sketching of low rank matrices
Rakshith Sharma Srinivasa, Kiryung Lee, Marius Junge, Justin Romberg
Neural Information Processing Systems http://nips.cc/
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