Local-to-global Bayesian network structure learning
- Tian Gao
- Kshitij Fadnis
- et al.
- 2017
- ICML 2017
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
Date
Featured collections
Popular topics
26 results for Tian Gao
Variational Message Passing Neural Network for Maximum-A-Posteriori (MAP) Inference
- Zijun Cui
- Hanjing Wang
- et al.
- 2022
- UAI 2022
Process Independence Testing in Proximal Graphical Event Models
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2022
- CLeaR 2022
Match2: Hybrid self-organizing map and deep learning strategies for treatment effect estimation
- Xiao Shou
- Tian Gao
- et al.
- 2021
- BCB 2021
PearL: Prototype learning via rule learning
- Tianfan Fu
- Tian Gao
- et al.
- 2019
- ACM-BCB 2019
Approximate Inference in Logical Credal Networks
- Radu Marinescu
- Haifeng Qian
- et al.
- 2023
- IJCAI 2023
Influence-Aware Attention for Multivariate Temporal Point Processes
- Xiao Shou
- Tian Gao
- et al.
- 2023
- CLeaR 2023
Linearizing Contextual Bandits with Latent State Dynamics
- Elliot Nelson
- Debarun Bhattacharjya
- et al.
- 2022
- UAI 2022
Order-dependent event models for agent interactions
- Debarun Bhattacharjya
- Tian Gao
- et al.
- 2021
- IJCAI 2020
State variable effects in graphical event models
- Debarun Bhattacharjya
- Dharmashankar Subramanian
- et al.
- 2021
- IJCAI 2020