A simple but tough-to-beat baseline for sentence embeddings S Arora, Y Liang, T Ma
819 2016 Generalization and equilibrium in generative adversarial nets (gans) S Arora, R Ge, Y Liang, T Ma, Y Zhang
International Conference on Machine Learning, 224-232, 2017
428 2017 Learning and generalization in overparameterized neural networks, going beyond two layers Z Allen-Zhu, Y Li, Y Liang
arXiv preprint arXiv:1811.04918, 2018
302 2018 Learning overparameterized neural networks via stochastic gradient descent on structured data Y Li, Y Liang
arXiv preprint arXiv:1808.01204, 2018
301 2018 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
241 2016 Scalable kernel methods via doubly stochastic gradients B Dai, B Xie, N He, Y Liang, A Raj, MF Balcan, L Song
arXiv preprint arXiv:1407.5599, 2014
192 2014 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
137 2018 Distributed MFF Balcan, S Ehrlich, Y Liang
Advances in Neural Information Processing Systems 26, 1995-2003, 2013
135 2013 Robust hierarchical clustering MF Balcan, Y Liang, P Gupta
The Journal of Machine Learning Research 15 (1), 3831-3871, 2014
128 2014 Improved distributed principal component analysis MF Balcan, V Kanchanapally, Y Liang, D Woodruff
arXiv preprint arXiv:1408.5823, 2014
115 2014 Improved distributed principal component analysis MF Balcan, V Kanchanapally, Y Liang, D Woodruff
arXiv preprint arXiv:1408.5823, 2014
115 2014 Diverse neural network learns true target functions B Xie, Y Liang, L Song
Artificial Intelligence and Statistics, 1216-1224, 2017
102 * 2017 Clustering under perturbation resilience MF Balcan, Y Liang
SIAM Journal on Computing 45 (1), 102-155, 2016
95 2016 Clustering under perturbation resilience MF Balcan, Y Liang
SIAM Journal on Computing 45 (1), 102-155, 2016
95 2016 Influence function learning in information diffusion networks N Du, Y Liang, M Balcan, L Song
International Conference on Machine Learning, 2016-2024, 2014
76 2014 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
51 2015 Why are deep nets reversible: A simple theory, with implications for training S Arora, Y Liang, T Ma
arXiv preprint arXiv:1511.05653, 2015
46 2015 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
44 2018 Domain adapted word embeddings for improved sentiment classification PK Sarma, Y Liang, WA Sethares
arXiv preprint arXiv:1805.04576, 2018
44 2018 Distributed PCA and k-means clustering Y Liang, MF Balcan, V Kanchanapally
The Big Learning Workshop at NIPS 2013, 2013
43 2013 
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityEmail verificata su cs.cmu.edu
