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Tian Gao
Tian Gao
IBM Research
Verified email at us.ibm.com
Title
Cited by
Cited by
Year
Dag-gnn: Dag structure learning with graph neural networks
Y Yu, J Chen, T Gao, M Yu
ICML arXiv preprint arXiv:1904.10098, 2019
1672019
Efficient Markov Blanket Discovery and Its Application
T Gao, Q Ji
IEEE Transactions on Cybernetics, 2016
472016
Local causal discovery of direct causes and effects
T Gao, Q Ji
Advances in Neural Information Processing Systems 28, 2015
392015
Generalized linear rule models
D Wei, S Dash, T Gao, O Günlük
ICML arXiv preprint arXiv:1906.01761, 2019
352019
Proximal graphical event models
D Bhattacharjya, D Subramanian, T Gao
Advances in Neural Information Processing Systems 31, 2018
332018
Local-to-global Bayesian network structure learning
T Gao, K Fadnis, M Campbell
International Conference on Machine Learning, 1193-1202, 2017
282017
Efficient score-based Markov Blanket discovery
T Gao, Q Ji
International Journal of Approximate Reasoning 80, 277-293, 2017
252017
Do multi-hop readers dream of reasoning chains?
H Wang, M Yu, X Guo, R Das, W Xiong, T Gao
arXiv preprint arXiv:1910.14520, 2019
232019
Multi-step entity-centric information retrieval for multi-hop question answering
R Das, A Godbole, D Kavarthapu, Z Gong, A Singhal, M Yu, X Guo, T Gao, ...
Proceedings of the 2nd Workshop on Machine Reading for Question Answering …, 2019
222019
Identifying the discourse function of news article paragraphs
WV Yarlott, C Cornelio, T Gao, M Finlayson
Proceedings of the Workshop Events and Stories in the News 2018, 25-33, 2018
202018
Event-Driven Continuous Time Bayesian Networks
D Bhattacharjya, K Shanmugam, T Gao, N Mattei, KR Varshney, ...
AAAI, 2020
172020
Parallel Bayesian network structure learning
T Gao, D Wei
International Conference on Machine Learning, 1685-1694, 2018
172018
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
D Wei, T Gao, Y Yu
NeurIPS 20 arXiv preprint arXiv:2010.09133, 2020
142020
Multi-step entity-centric information retrieval for multi-hop question answering
A Godbole, D Kavarthapu, R Das, Z Gong, A Singhal, H Zamani, M Yu, ...
arXiv preprint arXiv:1909.07598, 2019
142019
Learning with Hidden Information Using a Max-Margin Latent Variable Model
Z Wang, T Gao, Q Ji
Proceedings of the 2014 22nd International Conference on Pattern Recognition …, 2014
142014
Characterization of Overlap in Observational Studies
M Oberst, FD Johansson, D Wei, T Gao, G Brat, D Sontag, KR Varshney
AISTATS, 2020
112020
Constrained Local Latent Variable Discovery.
T Gao, Q Ji
IJCAI, 1490-1496, 2016
92016
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Y Yu, T Gao, N Yin, Q Ji
ICML 21 arXiv preprint arXiv:2106.07197, 2021
72021
Order-dependent event models for agent interactions
D Bhattacharjya, T Gao, D Subramanian
Proceedings of the Twenty-Ninth International Conference on International …, 2021
72021
Pearl: Prototype learning via rule learning
T Fu, T Gao, C Xiao, T Ma, J Sun
Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019
72019
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