Yingyu Liang
Yingyu Liang
Verified email at cs.wisc.edu - Homepage
Title
Cited by
Cited by
Year
A simple but tough-to-beat baseline for sentence embeddings
S Arora, Y Liang, T Ma
6982016
Generalization and equilibrium in generative adversarial nets (gans)
S Arora, R Ge, Y Liang, T Ma, Y Zhang
arXiv preprint arXiv:1703.00573, 2017
3542017
Learning overparameterized neural networks via stochastic gradient descent on structured data
Y Li, Y Liang
Advances in Neural Information Processing Systems, 8157-8166, 2018
2282018
Learning and generalization in overparameterized neural networks, going beyond two layers
Z Allen-Zhu, Y Li, Y Liang
Advances in neural information processing systems, 6158-6169, 2019
2182019
A latent variable model approach to pmi-based word embeddings
S Arora, Y Li, Y Liang, T Ma, A Risteski
Transactions of the Association for Computational Linguistics 4, 385-399, 2016
2122016
Scalable kernel methods via doubly stochastic gradients
B Dai, B Xie, N He, Y Liang, A Raj, MFF Balcan, L Song
Advances in Neural Information Processing Systems, 3041-3049, 2014
1772014
Distributed -means and -median Clustering on General Topologies
MFF Balcan, S Ehrlich, Y Liang
Advances in Neural Information Processing Systems, 1995-2003, 2013
1262013
Robust hierarchical clustering
MF Balcan, Y Liang, P Gupta
The Journal of Machine Learning Research 15 (1), 3831-3871, 2014
1222014
Linear algebraic structure of word senses, with applications to polysemy
S Arora, Y Li, Y Liang, T Ma, A Risteski
Transactions of the Association for Computational Linguistics 6, 483-495, 2018
1172018
Improved distributed principal component analysis
Y Liang, MFF Balcan, V Kanchanapally, D Woodruff
Advances in Neural Information Processing Systems, 3113-3121, 2014
1042014
Improved distributed principal component analysis
Y Liang, MFF Balcan, V Kanchanapally, D Woodruff
Advances in Neural Information Processing Systems, 3113-3121, 2014
1042014
Diverse neural network learns true target functions
B Xie, Y Liang, L Song
Artificial Intelligence and Statistics, 1216-1224, 2017
95*2017
Clustering under perturbation resilience
MF Balcan, Y Liang
SIAM Journal on Computing 45 (1), 102-155, 2016
872016
Clustering under perturbation resilience
MF Balcan, Y Liang
SIAM Journal on Computing 45 (1), 102-155, 2016
872016
Influence function learning in information diffusion networks
N Du, Y Liang, M Balcan, L Song
International Conference on Machine Learning, 2016-2024, 2014
682014
Random walks on context spaces: Towards an explanation of the mysteries of semantic word embeddings
S Arora, Y Li, Y Liang, T Ma, A Risteski
arXiv preprint arXiv:1502.03520, 385-399, 2015
492015
Why are deep nets reversible: A simple theory, with implications for training
S Arora, Y Liang, T Ma
arXiv preprint arXiv:1511.05653, 2015
432015
Distributed PCA and k-means clustering
Y Liang, MF Balcan, V Kanchanapally
The Big Learning Workshop at NIPS 2013, 2013
422013
A la carte embedding: Cheap but effective induction of semantic feature vectors
M Khodak, N Saunshi, Y Liang, T Ma, B Stewart, S Arora
arXiv preprint arXiv:1805.05388, 2018
392018
Domain adapted word embeddings for improved sentiment classification
PK Sarma, Y Liang, WA Sethares
arXiv preprint arXiv:1805.04576, 2018
392018
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Articles 1–20