A simple but tough-to-beat baseline for sentence embeddings S Arora, Y Liang, T Ma
International conference on learning representations, 2017
1325 2017 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
633 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
615 2019 Learning overparameterized neural networks via stochastic gradient descent on structured data Y Li, Y Liang
Advances in neural information processing systems 31, 2018
549 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
364 2016 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
231 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
203 2018 Distributed MFF Balcan, S Ehrlich, Y Liang
Advances in neural information processing systems 26, 2013
178 2013 Robust hierarchical clustering MF Balcan, Y Liang, P Gupta
The Journal of Machine Learning Research 15 (1), 3831-3871, 2014
150 2014 Improved distributed principal component analysis Y Liang, MFF Balcan, V Kanchanapally, D Woodruff
Advances in neural information processing systems 27, 2014
144 2014 Diverse neural network learns true target functions B Xie, Y Liang, L Song
Artificial Intelligence and Statistics, 1216-1224, 2017
135 * 2017 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
118 2020 Clustering under perturbation resilience MF Balcan, Y Liang
SIAM Journal on Computing 45 (1), 102-155, 2016
105 2016 Influence function learning in information diffusion networks N Du, Y Liang, M Balcan, L Song
International Conference on Machine Learning, 2016-2024, 2014
102 2014 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
95 2019 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
76 2018 Domain adapted word embeddings for improved sentiment classification PK Sarma, Y Liang, WA Sethares
arXiv preprint arXiv:1805.04576, 2018
74 2018 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
66 2019 Differentially private clustering in high-dimensional euclidean spaces MF Balcan, T Dick, Y Liang, W Mou, H Zhang
International Conference on Machine Learning, 322-331, 2017
63 2017 Mapping between fMRI responses to movies and their natural language annotations K Vodrahalli, PH Chen, Y Liang, C Baldassano, J Chen, E Yong, C Honey, ...
NeuroImage 180, 223-231, 2018
62 2018 
Maria-Florina BalcanProfessor, School of Computer Science, Carnegie Mellon UniversityGeverifieerd e-mailadres voor cs.cmu.edu
