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
762019
Efficient Markov Blanket Discovery and Its Application
T Gao, Q Ji
IEEE Transactions on Cybernetics, 2016
342016
Local causal discovery of direct causes and effects
T Gao, Q Ji
Advances in Neural Information Processing Systems 28, 2512-2520, 2015
292015
Proximal graphical event models
D Bhattacharjya, D Subramanian, T Gao
Advances in Neural Information Processing Systems 31, 8136-8145, 2018
212018
Local-to-global Bayesian network structure learning
T Gao, K Fadnis, M Campbell
International Conference on Machine Learning, 1193-1202, 2017
212017
Generalized linear rule models
D Wei, S Dash, T Gao, O Günlük
ICML arXiv preprint arXiv:1906.01761, 2019
162019
Efficient score-based Markov blanket discovery
T Gao, Q Ji
International Journal of Approximate Reasoning 80, 277-293, 2017
162017
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
152019
Parallel Bayesian network structure learning
T Gao, D Wei
International Conference on Machine Learning, 1685-1694, 2018
142018
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
132014
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
102019
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
102018
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
92019
Constrained Local Latent Variable Discovery.
T Gao, Q Ji
IJCAI, 1490-1496, 2016
82016
Structured feature selection
T Gao, Z Wang, Q Ji
Proceedings of the IEEE International Conference on Computer Vision, 4256-4264, 2015
72015
Event-Driven Continuous Time Bayesian Networks
D Bhattacharjya, K Shanmugam, T Gao, N Mattei, KR Varshney, ...
AAAI, 2020
62020
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
52020
A sequential set generation method for predicting set-valued outputs
T Gao, J Chen, V Chenthamarakshan, M Witbrock
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2835-2842, 2019
42019
A Multi-Channel Neural Graphical Event Model with Negative Evidence
T Gao, D Subramanian, K Shanmugam, D Bhattacharjya, N Mattei
AAAI, 2020
32020
Characterization of Overlap in Observational Studies
M Oberst, FD Johansson, D Wei, T Gao, G Brat, D Sontag, KR Varshney
AISTATS, 2020
32020
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