14 results on '"Anru Zhang"'
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2. An Optimal Statistical and Computational Framework for Generalized Tensor Estimation.
3. Tensor Clustering with Planted Structures: Statistical Optimality and Computational Limits.
4. Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference.
5. ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching.
6. A Non-asymptotic, Sharp, and User-friendly Reverse Chernoff-Cramèr Bound.
7. Estimation of Markov Chain via Rank-constrained Likelihood.
8. State Compression of Markov Processes via Empirical Low-Rank Estimation.
9. Guaranteed Tensor PCA with Optimality in Statistics and Computation.
10. Cross: Efficient Low-rank Tensor Completion.
11. ROP: Matrix Recovery via Rank-One Projections.
12. Compressed Sensing and Affine Rank Minimization under Restricted Isometry
13. Sharp RIP Bound for Sparse Signal and Low-Rank Matrix Recovery
14. Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-rank Matrices.
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