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Deformable DETR: Deformable Transformers for End-to-End Object Detection

Oct 08, 2020
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai

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Benign Overfitting and Noisy Features

Aug 06, 2020
Zhu Li, Weijie Su, Dino Sejdinovic

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Robust Learning Rate Selection for Stochastic Optimization via Splitting Diagnostic

Oct 24, 2019
Matteo Sordello, Weijie Su

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VL-BERT: Pre-training of Generic Visual-Linguistic Representations

Aug 22, 2019
Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai

* Work in progress 

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Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing

Jul 17, 2019
Zhiqi Bu, Jason Klusowski, Cynthia Rush, Weijie Su

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Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks

Jun 11, 2019
Qingyang Wu, He Li, Weijie Su, Lexin Li, Zhou Yu

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Statistical Inference for the Population Landscape via Moment Adjusted Stochastic Gradients

Dec 20, 2017
Tengyuan Liang, Weijie Su

* 30 pages, 4 figures 

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False Discoveries Occur Early on the Lasso Path

Sep 15, 2016
Weijie Su, Malgorzata Bogdan, Emmanuel Candes

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Private False Discovery Rate Control

Nov 12, 2015
Cynthia Dwork, Weijie Su, Li Zhang

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Communication-Efficient False Discovery Rate Control via Knockoff Aggregation

Nov 09, 2015
Weijie Su, Junyang Qian, Linxi Liu

* Generalized to the case that linear models can have different parameters; changed title; updated references 

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A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights

Oct 27, 2015
Weijie Su, Stephen Boyd, Emmanuel J. Candes

* To appear in Journal of Machine Learning Research. Added more simulation studies. Preliminary version appeared in NIPS 2014 

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