Causal Inference for Event Pairs in Multivariate Point Processes
- Tian Gao
- Shankar Subramaniam
- et al.
- 2021
- NeurIPS 2021
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17 results for Shankar Subramaniam
Pairwise Causality Guided Transformers for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- NeurIPS 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- ICML 2023
Ordinal Historical Dependence in Graphical Event Models with Tree Representations
- Debarun Bhattacharjya
- Tian Gao
- et al.
- 2021
- AAAI 2021
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
- Debarun Bhattacharjya
- Tian Gao
- et al.
- 2023
- AAAI 2023
Behavior Policy Search for Risk Estimators in RL
- Elita Lobo
- Yash Chandak
- et al.
- 2021
- NeurIPS 2021
Addressing Solution Quality in Data-generated Optimization Models
- 2022
- AAAI 2022
Structure Discovery in (Causal) Proximal Graphical Event Models
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2020
- NeurIPS 2020
Automated AI For Decision Optimization with Reinforcement Learning
- Shankar Subramaniam
- Takayuki Osogami
- et al.
- 2023
- AAAI 2023
Adaptive Primal-Dual Method for Safe Reinforcement Learning
- Weiqin Chen
- James Onyejizu
- et al.
- 2024
- AAMAS 2024