Publications

21 results for Shankar Subramaniam

Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation
- - Debarun Bhattacharjya
  - Tian Gao
  - et al.
- 2023
- AAAI 2023
Poster
Automated AI For Decision Optimization with Reinforcement Learning
- - Shankar Subramaniam
  - Takayuki Osogami
  - et al.
- 2023
- AAAI 2023
Tutorial
An End-to-end Automated AI System for Reinforcement Learning
- - Long Vu
  - Todd Mummert
  - et al.
- 2022
- INFORMS 2022
Talk
Addressing Solution Quality in Data-generated Optimization Models
- - Orit Davidovich
  - Parikshit Ram
  - et al.
- 2022
- AAAI 2022
Workshop paper
Causal Inference for Event Pairs in Multivariate Point Processes
- - Tian Gao
  - Shankar Subramaniam
  - et al.
- 2021
- NeurIPS 2021
Conference paper
Behavior Policy Search for Risk Estimators in RL
- - Elita Lobo
  - Yash Chandak
  - et al.
- 2021
- NeurIPS 2021
Workshop paper
A Regression-optimization Framework for Sequential Decision-making
- - Pavankumar Murali
  - Nianjun Zhou
  - et al.
- 2021
- INFORMS 2021
Talk
Ensuring the Quality of Optimization Solutions in Data Generated Optimization Models
- - Segev Wasserkrug
  - Orit Davidovich
  - et al.
- 2021
- IJCAI 2021
Workshop paper
Ordinal Historical Dependence in Graphical Event Models with Tree Representations
- - Debarun Bhattacharjya
  - Tian Gao
  - et al.
- 2021
- AAAI 2021
Conference paper
Structure Discovery in (Causal) Proximal Graphical Event Models
- - Debarun Bhattacharjya
  - Karthikeyan Shanmugam
  - et al.
- 2020
- NeurIPS 2020
Workshop paper