End-to-End Learning for Information Gathering
- Rares Christian
- Pavithra Harsha
- et al.
- 2025
- NeurIPS 2025
Publications
38 results for Brian Quanz
Post-variational classical quantum transfer learning for binary classification
- Kavitha Yogaraj
- Brian Quanz
- et al.
- 2025
- Scientific Reports
Deep Policy Iteration with Integer Programming for Inventory Management
- Pavithra Harsha
- Ashish Jagmohan
- et al.
- 2025
- Manuf. Serv. Oper. Manage.
An Optimistic-Robust Approach For Omnichannel Inventory Management
- Pavithra Harsha
- Shivaram Subramanian
- et al.
- 2023
- INFORMS 2023
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
- Arindam Jati
- Vijay Ekambaram
- et al.
- 2023
- KDD 2023
End-to-End Learning for Optimization via Constraint-Enforcing Approximators
- Rares Christian
- Pavithra Harsha
- et al.
- 2023
- AAAI 2023
Distributed Incremental Machine Learning for Big Time Series Data
- Dhaval Salwala
- Seshu Tirupathi
- et al.
- 2022
- Big Data 2022
End-to-End Learning for Decision Optimization via Constraint-Enforcing Approximators
- Rares Christian
- Pavithra Harsha
- et al.
- 2022
- INFORMS 2022
Deep Policy Iteration with Integer Programming for Inventory Management
- Brian Quanz
- Pavithra Harsha
- et al.
- 2022
- INFORMS 2022
Inventory Management in Omnichannel Supply Chains
- Pavithra Harsha
- Ali Koc
- et al.
- 2022
- INFORMS 2022