A simple but tough-to-beat baseline for sentence embeddings S Arora, Y Liang, T Ma
International conference on learning representations, 2017
1767 2017 Learning and generalization in overparameterized neural networks, going beyond two layers Z Allen-Zhu, Y Li, Y Liang
Advances in neural information processing systems 32, 2019
909 2019 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
849 2017 Learning overparameterized neural networks via stochastic gradient descent on structured data Y Li, Y Liang
Advances in neural information processing systems 31, 2018
764 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
627 2016 Learning relationships between text, audio, and video via deep canonical correlation for multimodal language analysis Z Sun, P Sarma, W Sethares, Y Liang
Proceedings of the AAAI conference on artificial intelligence 34 (05), 8992-8999, 2020
369 2020 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
301 2018 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 27, 2014
261 2014 Distributed MFF Balcan, S Ehrlich, Y Liang
Advances in neural information processing systems 26, 2013
227 2013 N-gram graph: Simple unsupervised representation for graphs, with applications to molecules S Liu, MF Demirel, Y Liang
Advances in neural information processing systems 32, 2019
222 2019 Robust hierarchical clustering MF Balcan, Y Liang, P Gupta
The Journal of Machine Learning Research 15 (1), 3831-3871, 2014
175 2014 Atom: Robustifying out-of-distribution detection using outlier mining J Chen, Y Li, X Wu, Y Liang, S Jha
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
173 2021 Improved distributed principal component analysis Y Liang, MFF Balcan, V Kanchanapally, D Woodruff
Advances in neural information processing systems 27, 2014
166 2014 Loss-balanced task weighting to reduce negative transfer in multi-task learning S Liu, Y Liang, A Gitter
Proceedings of the AAAI conference on artificial intelligence 33 (01), 9977-9978, 2019
160 2019 Diverse neural network learns true target functions B Xie, Y Liang, L Song
Artificial Intelligence and Statistics, 1216-1224, 2017
158 * 2017 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
134 2018 Clustering under perturbation resilience MF Balcan, Y Liang
SIAM Journal on Computing 45 (1), 102-155, 2016
123 2016 Influence function learning in information diffusion networks N Du, Y Liang, M Balcan, L Song
International Conference on Machine Learning, 2016-2024, 2014
113 2014 Robust attribution regularization J Chen, X Wu, V Rastogi, Y Liang, S Jha
Advances in Neural Information Processing Systems 32, 2019
104 2019 Robust out-of-distribution detection for neural networks J Chen, Y Li, X Wu, Y Liang, S Jha
arXiv preprint arXiv:2003.09711, 2020
102 2020 
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityOverená e-mailová adresa na: cs.cmu.edu
