Probabilistic Attention-to-Influence Neural Models for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- ICML 2023
Conference paper
Publications
22 results for Shankar Subramaniam
Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
- Debarun Bhattacharjya
- Tian Gao
- et al.
- 2023
- AAAI 2023
PosterAutomated AI For Decision Optimization with Reinforcement Learning
- Shankar Subramaniam
- Takayuki Osogami
- et al.
- 2023
- AAAI 2023
TutorialAn End-to-end Automated AI System for Reinforcement Learning
- Long Vu
- Todd Mummert
- et al.
- 2022
- INFORMS 2022
TalkAddressing Solution Quality in Data-generated Optimization Models
- 2022
- AAAI 2022
Workshop paperCausal Inference for Event Pairs in Multivariate Point Processes
- Tian Gao
- Shankar Subramaniam
- et al.
- 2021
- NeurIPS 2021
Conference paperBehavior Policy Search for Risk Estimators in RL
- Elita Lobo
- Yash Chandak
- et al.
- 2021
- NeurIPS 2021
Workshop paperA Regression-optimization Framework for Sequential Decision-making
- Pavankumar Murali
- Nianjun Zhou
- et al.
- 2021
- INFORMS 2021
TalkEnsuring the Quality of Optimization Solutions in Data Generated Optimization Models
- 2021
- IJCAI 2021
Workshop paperOrdinal Historical Dependence in Graphical Event Models with Tree Representations
- Debarun Bhattacharjya
- Tian Gao
- et al.
- 2021
- AAAI 2021
Conference paper