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20222026
most citedShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference

1 citations · 2 across the 14 of their papers we have counts for

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stat.ML2022

Deep Unfolded Tensor Robust PCA with Self-supervised Learning

Harry Dong, Megna Shah, Sean Donegan +1

Tensor robust principal component analysis (RPCA), which seeks to separate a low-rank tensor from its sparse corruptions, has been crucial in data science and machine learning wher…

stat.ML2022

Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent

Harry Dong, Tian Tong, Cong Ma +1

An increasing number of data science and machine learning problems rely on computation with tensors, which better capture the multi-way relationships and interactions of data than…