Economically viable sustainable supplier and route selection framework for food supply chains
- Kumar Saurav
- Ivan Kayongo
- et al.
- 2021
- INFORMS 2021
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Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
- Nhuong Nguyen
- Toan Nguyen
- et al.
- 2021
- INFORMS 2021
Alternate Forecast: a GMM based representation of forecast and prediction interval
- Sumanta Mukherjee
- Siddhant Haldar
- et al.
- 2021
- INFORMS 2021
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- 2021
- INFORMS 2021
Yield Modeling for Multi-Layer Products
- Emmanuel Yashchin
- 2021
- INFORMS 2021
Math Programming Based Reinforcement Learning For Multi-echelon Supply Chain Management
- Pavithra Harsha
- Ashish Jagmohan
- et al.
- 2021
- INFORMS 2021
Addressing the Design Needs of Implementing Fairness in AI via Influence Functions
- Brianna Richardson
- Kush R. Varshney
- 2021
- INFORMS 2021
Simpler (classical) and Faster (quantum) Algorithms for Gibbs Partition Functions
- Srinivasan Arunachalam
- Vojtech Havlicek
- et al.
- 2021
- INFORMS 2021
Explainability For Efficient And Trusted Decision Optimization
- 2021
- INFORMS 2021
Minimizing Power Outage For Energy And Utility Industry With Deep Learning
- Wang Zhou
- Levente Klein
- et al.
- 2021
- INFORMS 2021