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Tengyuan Liang
Bio
Research
Teaching
Talks
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Publications
On Detection and Structural Reconstruction of Small-World Random Networks
Geometric Inference for General High-Dimensional Linear Inverse Problems
Learning with Square Loss: Localization through Offset Rademacher Complexity
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions
Law of Log Determinant of Sample Covariance Matrix and Optimal Estimation of Differential Entropy for High-Dimensional Gaussian Distributions
Talks
HKUST
EcoSta 2018
UChicago
Princeton
UIUC
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