Publications

38 results for Brian Quanz

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