Yichao Lu
Yichao Lu
University of Pennsylvania, Amazon
Verified email at wharton.upenn.edu
TitleCited byYear
Faster ridge regression via the subsampled randomized hadamard transform
Y Lu, P Dhillon, DP Foster, L Ungar
Advances in neural information processing systems, 369-377, 2013
822013
Finding linear structure in large datasets with scalable canonical correlation analysis
Z Ma, Y Lu, D Foster
International conference on machine learning, 169-178, 2015
562015
New subsampling algorithms for fast least squares regression
P Dhillon, Y Lu, DP Foster, L Ungar
Advances in neural information processing systems, 360-368, 2013
472013
Large scale canonical correlation analysis with iterative least squares
Y Lu, DP Foster
Advances in Neural Information Processing Systems, 91-99, 2014
352014
A neural interlingua for multilingual machine translation
Y Lu, P Keung, F Ladhak, V Bhardwaj, S Zhang, J Sun
arXiv preprint arXiv:1804.08198, 2018
122018
Fast ridge regression with randomized principal component analysis and gradient descent
Y Lu, DP Foster
arXiv preprint arXiv:1405.3952, 2014
82014
A practical approach to dialogue response generation in closed domains
Y Lu, P Keung, S Zhang, J Sun, V Bhardwaj
arXiv preprint arXiv:1703.09439, 2017
62017
Optimal Weighting of Multi-View Data with Low Dimensional Hidden States
Y Lu, DP Foster
arXiv preprint arXiv:1209.5477, 2012
12012
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER
P Keung, Y Lu, V Bhardwaj
arXiv preprint arXiv:1909.00153, 2019
2019
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting
Y Lu, M Srivastava, J Kramer, H Elfardy, A Kahn, S Wang, V Bhardwaj
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
2019
Fast linear algorithms for machine learning
Y Lu
2015
Supplementary Material for ‘New Subsampling Algorithms for Fast Least Squares Regression’
PS Dhillon, Y Lu, D Foster, L Ungar
Supplementary Material for ‘Faster Ridge Regression via the Subsampled Randomized Hadamard Transform’
Y Lu, PS Dhillon, D Foster, L Ungar
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Articles 1–13