Bo Dai
Bo Dai
Google Brain
Verified email at gatech.edu - Homepage
TitleCited byYear
Discriminative embeddings of latent variable models for structured data
H Dai, B Dai, L Song
International conference on machine learning, 2702-2711, 2016
1692016
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
1452014
Information-theoretic semi-supervised metric learning via entropy regularization
G Niu, B Dai, M Yamada, M Sugiyama
Neural computation 26 (8), 1717-1762, 2014
682014
Syntax-directed variational autoencoder for structured data
H Dai, Y Tian, B Dai, S Skiena, L Song
arXiv preprint arXiv:1802.08786, 2018
572018
Learning from Conditional Distributions via Dual Embeddings
B Dai, N He, Y Pan, B Boots, L Song
arXiv preprint arXiv:1607.04579, 2016
472016
SBEED: Convergent reinforcement learning with nonlinear function approximation
B Dai, A Shaw, L Li, L Xiao, N He, Z Liu, J Chen, L Song
arXiv preprint arXiv:1712.10285, 2017
46*2017
Provable bayesian inference via particle mirror descent
B Dai, N He, H Dai, L Song
Artificial Intelligence and Statistics, 985-994, 2016
41*2016
Iterative machine teaching
W Liu, B Dai, A Humayun, C Tay, C Yu, LB Smith, JM Rehg, L Song
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
352017
Nonparametric estimation of multi-view latent variable models
L Song, A Anandkumar, B Dai, B Xie
International Conference on Machine Learning, 640-648, 2014
352014
Deep hyperspherical learning
W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song
Advances in neural information processing systems, 3950-3960, 2017
332017
Squared-loss mutual information regularization: A novel information-theoretic approach to semi-supervised learning
G Niu, W Jitkrittum, B Dai, H Hachiya, M Sugiyama
International Conference on Machine Learning, 10-18, 2013
252013
Stochastic generative hashing
B Dai, R Guo, S Kumar, N He, L Song
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
242017
Maximum volume clustering: A new discriminative clustering approach
G Niu, B Dai, L Shang, M Sugiyama
The Journal of Machine Learning Research 14 (1), 2641-2687, 2013
16*2013
Learning towards minimum hyperspherical energy
W Liu, R Lin, Z Liu, L Liu, Z Yu, B Dai, L Song
Advances in Neural Information Processing Systems, 6222-6233, 2018
122018
Recurrent Hidden Semi-Markov Model
H Dai, B Dai, YM Zhang, S Li, L Song
122017
Learning steady-states of iterative algorithms over graphs
H Dai, Z Kozareva, B Dai, A Smola, L Song
International Conference on Machine Learning, 1114-1122, 2018
112018
Boosting the actor with dual critic
B Dai, A Shaw, N He, L Li, L Song
arXiv preprint arXiv:1712.10282, 2017
112017
Robust low rank kernel embeddings of multivariate distributions
L Song, B Dai
Advances in Neural Information Processing Systems, 3228-3236, 2013
112013
Minimum conditional entropy clustering: A discriminative framework for clustering
B Dai, B Hu
Proceedings of 2nd Asian Conference on Machine Learning, 47-62, 2010
112010
Decoupled networks
W Liu, Z Liu, Z Yu, B Dai, R Lin, Y Wang, JM Rehg, L Song
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
92018
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