Qi Lei
Qi Lei
PhD of Computational Engineering and Sciences, University of Texas at Austin
Verifierad e-postadress på ices.utexas.edu - Startsida
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Citeras av
Gradient coding: Avoiding stragglers in distributed learning
R Tandon, Q Lei, AG Dimakis, N Karampatziakis
International Conference on Machine Learning, 3368-3376, 2017
Gradient coding
R Tandon, Q Lei, AG Dimakis, N Karampatziakis
arXiv preprint arXiv:1612.03301, 2016
Hessian-based analysis of large batch training and robustness to adversaries
Z Yao, A Gholami, Q Lei, K Keutzer, MW Mahoney
Advances in Neural Information Processing Systems, 4949-4959, 2018
Stabilizing gradients for deep neural networks via efficient SVD parameterization
J Zhang, Q Lei, IS Dhillon
arXiv preprint arXiv:1803.09327, 2018
Efficient and non-convex coordinate descent for symmetric nonnegative matrix factorization
A Vandaele, N Gillis, Q Lei, K Zhong, I Dhillon
IEEE Transactions on Signal Processing 64 (21), 5571-5584, 2016
Coordinate-wise power method
Q Lei, K Zhong, IS Dhillon
Advances in Neural Information Processing Systems, 2064-2072, 2016
Discrete attacks and submodular optimization with applications to text classification
Q Lei, L Wu, PY Chen, AG Dimakis, IS Dhillon, M Witbrock
arXiv preprint arXiv:1812.00151, 2018
Random warping series: A random features method for time-series embedding
L Wu, IEH Yen, J Yi, F Xu, Q Lei, M Witbrock
arXiv preprint arXiv:1809.05259, 2018
A greedy approach for budgeted maximum inner product search
HF Yu, CJ Hsieh, Q Lei, IS Dhillon
Advances in Neural Information Processing Systems, 5453-5462, 2017
Similarity Preserving Representation Learning for Time Series Clustering
Q Lei, J Yi, R Vaculin, L Wu, IS Dhillon
arXiv preprint arXiv:1702.03584, 2017
Vectorization of line drawing image based on junction analysis
JZ Chen, Q Lei, YW Miao, QS Peng
Science China Information Sciences 58 (7), 1-14, 2015
Doubly greedy primal-dual coordinate descent for sparse empirical risk minimization
Q Lei, IEH Yen, C Wu, IS Dhillon, P Ravikumar
International Conference on Machine Learning, 2034-2042, 2017
Inverting Deep Generative models, One layer at a time
Q Lei, A Jalal, IS Dhillon, AG Dimakis
Advances in Neural Information Processing Systems, 13910-13919, 2019
First assembly times and equilibration in stochastic coagulation-fragmentation
MR D’Orsogna, Q Lei, T Chou
The Journal of chemical physics 143 (1), 07B604_1, 2015
Few-shot learning via learning the representation, provably
SS Du, W Hu, SM Kakade, JD Lee, Q Lei
arXiv preprint arXiv:2002.09434, 2020
Sgd learns one-layer networks in wgans
Q Lei, JD Lee, AG Dimakis, C Daskalakis
arXiv preprint arXiv:1910.07030, 2019
Cat: Customized adversarial training for improved robustness
M Cheng, Q Lei, PY Chen, I Dhillon, CJ Hsieh
arXiv preprint arXiv:2002.06789, 2020
Primal-Dual Block Frank-Wolfe
Q Lei, J Zhuo, C Caramanis, IS Dhillon, AG Dimakis
arXiv preprint arXiv:1906.02436, 2019
Compressed sensing with invertible generative models and dependent noise
J Whang, Q Lei, AG Dimakis
arXiv preprint arXiv:2003.08089, 2020
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
Q Lei, SG Nagarajan, I Panageas, X Wang
arXiv preprint arXiv:2002.06768, 2020
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Artiklar 1–20