82 citations · 384 across the 49 of their papers we have counts for
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stat.ML2019★ 1 cited
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru Zhang, Yuetian Luo, Garvesh Raskutti +1
In this paper, we develop a novel procedure for low-rank tensor regression, namely \emph{\underline{I}mportance \underline{S}ketching \underline{L}ow-rank \underline{E}stimation fo…
math.ST2019★ 1 cited
Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference
T. Tony Cai, Anru R. Zhang, Yuchen Zhou
We study sparse group Lasso for high-dimensional double sparse linear regression, where the parameter of interest is simultaneously element-wise and group-wise sparse. This problem…
stat.ME2019★ 4 cited
Learning Markov models via low-rank optimization
Ziwei Zhu, Xudong Li, Mengdi Wang +1
Modeling unknown systems from data is a precursor of system optimization and sequential decision making. In this paper, we focus on learning a Markov model from a single trajectory…