Furong Huang
Furong Huang
Assistant Professor of Computer Science, University of Maryland
Geverifieerd e-mailadres voor umd.edu - Homepage
Geciteerd door
Geciteerd door
Escaping from saddle points—online stochastic gradient for tensor decomposition
R Ge, F Huang, C Jin, Y Yuan
Conference on learning theory, 797-842, 2015
High-dimensional structure estimation in Ising models: Local separation criterion
A Anandkumar, VYF Tan, F Huang, AS Willsky
The Annals of Statistics, 1346-1375, 2012
Online tensor methods for learning latent variable models
F Huang, UN Niranjan, MU Hakeem, A Anandkumar
Journal of Machine Learning Research 16, 2797-2835, 2015
High-dimensional Gaussian graphical model selection: Walk summability and local separation criterion
A Anandkumar, VYF Tan, F Huang, AS Willsky
Journal of Machine Learning Research 13, 2293-2337, 2012
Learning deep resnet blocks sequentially using boosting theory
F Huang, J Ash, J Langford, R Schapire
International Conference on Machine Learning, 2058-2067, 2018
Learning mixtures of tree graphical models
A Anandkumar, DJ Hsu, F Huang, SM Kakade
Advances in Neural Information Processing Systems 25, 2012
Prediction-based spectrum aggregation with hardware limitation in cognitive radio networks
F Huang, W Wang, H Luo, G Yu, Z Zhang
2010 IEEE 71st Vehicular Technology Conference, 1-5, 2010
Convolutional Tensor-Train LSTM for Spatio-temporal Learning
J Su, W Byeon, F Huang, J Kautz, A Anandkumar
Conference on Neural Information Processing Systems (NeurIPS), arXiv:2002.09131, 2020
Convolutional dictionary learning through tensor factorization
F Huang, A Anandkumar
Feature extraction: modern questions and challenges, 116-129, 2015
Understanding generalization through visualizations
WR Huang, Z Emam, M Goldblum, L Fowl, JK Terry, F Huang, T Goldstein
PMLR, 2020
Tensorial neural networks: Generalization of neural networks and application to model compression
J Su, J Li, B Bhattacharjee, F Huang
arXiv preprint arXiv:1805.10352, 2018
Label smoothing and logit squeezing: a replacement for adversarial training?
A Shafahi, A Ghiasi, F Huang, T Goldstein
arXiv preprint arXiv:1910.11585, 2019
Sysml: The new frontier of machine learning systems
A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ...
Understanding Generalization in Deep Learning via Tensor Methods
J Li, Y Sun, J Su, T Suzuki, F Huang
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2020
Dp-instahide: Provably defusing poisoning and backdoor attacks with differentially private data augmentations
E Borgnia, J Geiping, V Cherepanova, L Fowl, A Gupta, A Ghiasi, ...
arXiv preprint arXiv:2103.02079, 2021
Scalable latent tree model and its application to health analytics
F Huang, I Perros, R Chen, J Sun, A Anandkumar
arXiv preprint arXiv:1406.4566, 2014
Distributed latent dirichlet allocation via tensor factorization
F Huang, S Matusevych, A Anandkumar, N Karampatziakis, P Mineiro
NIPS Optimization Workshop 1, 2014
Vulnerability-aware poisoning mechanism for online rl with unknown dynamics
Y Sun, D Huo, F Huang
International Conference on Learning Representations, 2021
Unsupervised learning of word-sequence representations from scratch via convolutional tensor decomposition
F Huang, A Anandkumar
Mlsys: The new frontier of machine learning systems
A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ...
arXiv preprint arXiv:1904.03257, 2019
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