An Optimistic-Robust Approach For Omnichannel Inventory Management
- Pavithra Harsha
- Shivaram Subramanian
- et al.
- 2023
- INFORMS 2023
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35 results for Brian Quanz
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
Inventory Management in Omnichannel Supply Chains
- Pavithra Harsha
- Ali Koc
- et al.
- 2022
- INFORMS 2022
Deep Policy Iteration with Integer Programming for Inventory Management
- Brian Quanz
- Pavithra Harsha
- et al.
- 2022
- INFORMS 2022
Scalable Distributed Computing Systems for Incremental Machine Learning in Big Data Applications
- 2022
- INFORMS 2022
Seasonal Scale Climate Encodings For Spatio-temporal Demand Forecasting
- Jitendra Singh
- Smit Marvaniya
- et al.
- 2022
- INFORMS 2022
Hyperparameter Optimization over Data Hierarchy for Model Selection in Time Series Forecasting
- Arindam Jati
- Vijay E
- et al.
- 2022
- INFORMS 2022