Publications

20 results for Debarun Bhattacharjya

Model-free Causal Reinforcement Learning with Causal Diagrams
- - Junkyu Lee
  - Tian Gao
  - et al.
- 2023
- IJCAI 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences
- - Xiao Shou
  - Debarun Bhattacharjya
  - et al.
- 2023
- ICML 2023
Weighted Clock Logic Point Process
- - Ruixuan Yan
  - Yunshi Wen
  - et al.
- 2023
- ICLR 2023
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
- - Debarun Bhattacharjya
  - Tian Gao
  - et al.
- 2023
- AAAI 2023
Knowledge-Based News Event Analysis & Forecasting Toolkit
- - Oktie Hassanzadeh
  - Parul Awasthy
  - et al.
- 2022
- IJCAI 2022
Causal Inference for Event Pairs in Multivariate Point Processes
- - Tian Gao
  - Shankar Subramaniam
  - et al.
- 2021
- NeurIPS 2021
Ordinal Historical Dependence in Graphical Event Models with Tree Representations
- - Debarun Bhattacharjya
  - Tian Gao
  - et al.
- 2021
- AAAI 2021
Structure Discovery in (Causal) Proximal Graphical Event Models
- - Debarun Bhattacharjya
  - Karthikeyan Shanmugam
  - et al.
- 2020
- NeurIPS 2020
Hawkesian Graphical Event Models
- - Xiufan Yu
  - Karthikeyan Shanmugam
  - et al.
- 2020
- PGM 2020
Event-Driven Continuous Time Bayesian Networks: An Application in Modeling Progression out of Poverty through Integrated Social Services
- - Debarun Bhattacharjya
  - Karthikeyan Shanmugam
  - et al.
- 2019
- IJCAI 2019