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A Theory of Label Propagation for Subpopulation Shift

Feb 22, 2021
Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei

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Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev

Oct 11, 2020
Xiao Wang, Qi Lei, Ioannis Panageas

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Predicting What You Already Know Helps: Provable Self-Supervised Learning

Aug 03, 2020
Jason D. Lee, Qi Lei, Nikunj Saunshi, Jiacheng Zhuo

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Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting

Mar 23, 2020
Lemeng Wu, Mao Ye, Qi Lei, Jason D. Lee, Qiang Liu

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Compressed Sensing with Invertible Generative Models and Dependent Noise

Mar 18, 2020
Jay Whang, Qi Lei, Alexandros G. Dimakis

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Few-Shot Learning via Learning the Representation, Provably

Feb 21, 2020
Simon S. Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei

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Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes

Feb 21, 2020
Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang

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CAT: Customized Adversarial Training for Improved Robustness

Feb 17, 2020
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit Dhillon, Cho-Jui Hsieh

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Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls

Oct 17, 2019
Jiacheng Zhuo, Qi Lei, Alexandros G. Dimakis, Constantine Caramanis

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SGD Learns One-Layer Networks in WGANs

Oct 15, 2019
Qi Lei, Jason D. Lee, Alexandros G. Dimakis, Constantinos Daskalakis

* 21 pages, 4 figures 

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Inverting Deep Generative models, One layer at a time

Jun 19, 2019
Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis

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Primal-Dual Block Frank-Wolfe

Jun 06, 2019
Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis

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Discrete Attacks and Submodular Optimization with Applications to Text Classification

Dec 01, 2018
Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock

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Random Warping Series: A Random Features Method for Time-Series Embedding

Sep 14, 2018
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock

* AIStats18, Oral Paper, Add code link for generating RWS 

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Hessian-based Analysis of Large Batch Training and Robustness to Adversaries

Jun 18, 2018
Zhewei Yao, Amir Gholami, Qi Lei, Kurt Keutzer, Michael W. Mahoney

* 23 pages, 16 figures 

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Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization

Mar 25, 2018
Jiong Zhang, Qi Lei, Inderjit S. Dhillon

* main text 13 pages, 22 pages including reference and appendix 

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Negative-Unlabeled Tensor Factorization for Location Category Inference from Highly Inaccurate Mobility Data

May 24, 2017
Jinfeng Yi, Qi Lei, Wesley Gifford, Ji Liu, Junchi Yan

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Similarity Preserving Representation Learning for Time Series Analysis

Mar 09, 2017
Qi Lei, Jinfeng Yi, Roman Vaculin, Lingfei Wu, Inderjit S. Dhillon

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Gradient Coding

Mar 08, 2017
Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis

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A Greedy Approach for Budgeted Maximum Inner Product Search

Oct 11, 2016
Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon

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Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization

May 31, 2016
Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit Dhillon

* IEEE Transactions on Signal Processing 64 (21), pp. 5571-5584, 2016 
* 25 pages, 5 figures, 7 tables. Main changes: comparison with another symNMF algorithm (namely, BetaSNMF), and correction of an error in the convergence proof 

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