Obserwuj
Qi Lei
Qi Lei
Assistant Professor of Mathematics and Data Science, New York University
Zweryfikowany adres z nyu.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Gradient coding: Avoiding stragglers in distributed learning
R Tandon, Q Lei, AG Dimakis, N Karampatziakis
International Conference on Machine Learning, 3368-3376, 2017
5742017
Few-shot learning via learning the representation, provably
SS Du, W Hu, SM Kakade, JD Lee, Q Lei
International Conference on Learning Representations, 2021
2992021
Predicting what you already know helps: Provable self-supervised learning
JD Lee, Q Lei, N Saunshi, J Zhuo
Advances in Neural Information Processing Systems 34, 2021
2162021
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 31, 4949-4959, 2018
1872018
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
J Zhang, Q Lei, I Dhillon
International Conference on Machine Learning, 5806--5814, 2018
1422018
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification
Q Lei, L Wu, PY Chen, A Dimakis, IS Dhillon, MJ Witbrock
Systems and Machine Learning (SysML), 2019
130*2019
Cat: Customized adversarial training for improved robustness
M Cheng, Q Lei, PY Chen, I Dhillon, CJ Hsieh
IJCAI, 673-679, 2022
1292022
Similarity Preserving Representation Learning for Time Series Clustering.
Q Lei, J Yi, R Vaculin, L Wu, IS Dhillon
IJCAI 19, 2845-2851, 2019
1102019
Gradient coding
R Tandon, Q Lei, AG Dimakis, N Karampatziakis
arXiv preprint arXiv:1612.03301, 2016
1022016
Inverting deep generative models, one layer at a time
Q Lei, A Jalal, IS Dhillon, AG Dimakis
Advances in neural information processing systems, 2019
662019
A greedy approach for budgeted maximum inner product search
HF Yu, CJ Hsieh, Q Lei, IS Dhillon
Advances in neural information processing systems 30, 2017
642017
A theory of label propagation for subpopulation shift
T Cai, R Gao, J Lee, Q Lei
International Conference on Machine Learning, 1170-1182, 2021
612021
Random Warping Series: A Random Features Method for Time-Series Embedding
L Wu, IEH Yen, J Yi, F Xu, Q Lei, M Witbrock
In International Conference on Artificial Intelligence and Statistics, 793-802, 2018
612018
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
582016
Coordinate-wise Power Method
Q Lei, K Zhong, IS Dhillon
Proceedings of the 30th International Conference on Neural Information …, 2016
562016
How fine-tuning allows for effective meta-learning
K Chua, Q Lei, JD Lee
Advances in Neural Information Processing Systems 34, 2021
552021
Near-optimal linear regression under distribution shift
Q Lei, W Hu, J Lee
International Conference on Machine Learning, 6164-6174, 2021
512021
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
Q Lei, SG Nagarajan, I Panageas, X Wang
International Conference on Artificial Intelligence and Statistics, 2021
512021
SGD Learns One-Layer Networks in WGANs
Q Lei, J Lee, A Dimakis, C Daskalakis
International Conference on Machine Learning, 2020
462020
Compressed sensing with invertible generative models and dependent noise
J Whang, Q Lei, AG Dimakis
arXiv preprint arXiv:2003.08089, 2020
412020
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20