Causal knowledge extraction through large-scale text mining
- Oktie Hassanzadeh
- Debarun Bhattacharjya
- et al.
- 2020
- AAAI 2020
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44 results for Debarun Bhattacharjya
A multi-channel neural graphical event model with negative evidence
- Tian Gao
- Dharmashankar Subramanian
- et al.
- 2020
- AAAI 2020
Concurrent Multi-Label Prediction in Event Streams
- Xiao Shou
- Tian Gao
- et al.
- 2023
- AAAI 2023
Logical Credal Networks
- Radu Marinescu
- Haifeng Qian
- et al.
- 2022
- NeurIPS 2022
Hedging as Reward Augmentation in Probabilistic Graphical Models
- Debarun Bhattacharjya
- Radu Marinescu
- 2022
- NeurIPS 2022
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data
- Tian Gao
- Debarun Bhattacharjya
- et al.
- 2022
- ICML 2022
GaSPing for utility
- Mengyang Gu
- Debarun Bhattacharjya
- et al.
- 2020
- AAAI 2020
Event-driven continuous time bayesian networks
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2020
- AAAI 2020
Proximal graphical event models
- Debarun Bhattacharjya
- Dharmashankar Subramanian
- et al.
- 2018
- NeurIPS 2018
A myopic approach to ordering nodes for parameter elicitation in Bayesian belief networks
- Debarun Bhattacharjya
- Léa A. Deleris
- et al.
- 2014
- IEEE TKDE