
NearOptimal Confidence Sequences for Bounded Random Variables
Many inference problems, such as sequential decision problems like A/B t...
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Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Datasets containing sensitive information are often sequentially analyze...
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ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training
Distributed training is useful to train complicated models to shorten th...
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Convergence Analysis for Rectangular Matrix Completion Using BurerMonteiro Factorization and Gradient Descent
We address the rectangular matrix completion problem by lifting the unkn...
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A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
We propose a simple, scalable, and fast gradient descent algorithm to op...
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Interpolating Convex and NonConvex Tensor Decompositions via the Subspace Norm
We consider the problem of recovering a lowrank tensor from its noisy o...
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Qinqing Zheng
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