Publications

38 results for Brian Quanz

Scalable Distributed Computing Systems for Incremental Machine Learning in Big Data Applications
- - Dhaval Salwala
  - Seshu Tirupathi
  - et al.
- 2022
- INFORMS 2022
Talk
Hyperparameter Optimization over Data Hierarchy for Model Selection in Time Series Forecasting
- - Arindam Jati
  - Vijay E
  - et al.
- 2022
- INFORMS 2022
Talk
Automating Complex and Distributed Forecasting Tasks for Faster Supply Chain Decisions
- - Vijay E
  - Arindam Jati
  - et al.
- 2022
- INFORMS 2022
Talk
Seasonal Scale Climate Encodings For Spatio-temporal Demand Forecasting
- - Jitendra Singh
  - Smit Marvaniya
  - et al.
- 2022
- INFORMS 2022
Talk
Towards Creativity Characterization of Generative Models via Group-based Subset Scanning
- - Celia Cintas
  - Payel Das
  - et al.
- 2022
- IJCAI 2022
Conference paper
Deep policy iteration with integer programming for inventory management
- - Pavithra Harsha
  - Ashish Jagmohan
  - et al.
- 2022
- MSOM 2022
Talk
End-to-End Learning via Constraint-Enforcing Approximators for Linear Programs with Applications to Supply Chains
- - Rares Christian
  - Pavithra Harsha
  - et al.
- 2022
- AAAI 2022
Workshop paper
Predicting Deep Neural Network Generalization with Perturbation Response Curves
- - Yair Schiff
  - Brian Quanz
  - et al.
- 2021
- NeurIPS 2021
Conference paper
Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management
- - Pavithra Harsha
  - Ashish Jagmohan
  - et al.
- 2021
- NeurIPS 2021
Workshop paper
Effect Of Choice Of Forecasting Metric On Profit Margin
- - Pavithra Harsha
  - Ali Koc
  - et al.
- 2021
- INFORMS 2021
Talk