Cost-Aware Counterfactuals for Black Box Explanations
- Natalia Martinez Gil
- Kanthi Sarpatwar
- et al.
- 2023
- NeurIPS 2023
Workshop paper
Publications
8 results for Kanthi Sarpatwar
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- Giridhar Ganapavarapu
- Sumanta Mukherjee
- et al.
- 2023
- KDD 2023
TutorialEfficient Pruning for Machine Learning under Homomorphic Encryption
- Ehud Aharoni
- Moran Baruch
- et al.
- 2023
- ESORICS 2023
Conference paperPhysics-based multiple time-series univariate forecasting
- Sumanta Mukherjee
- Arindam Jati
- et al.
- 2022
- Big Data 2022
Conference paperPrune, Permute and Expand: Efficient Machine Learning under Non-Client-Aided Homomorphic Encryption
- Ehud Aharoni
- Moran Baruch
- et al.
- 2022
- MICRO 2022
Workshop paperExplainability For Efficient And Trusted Decision Optimization
- 2021
- INFORMS 2021
TalkNatural Language Modelling For Process Optimization
- Elham Khabiri
- Robert Baseman
- et al.
- 2020
- INFORMS 2020
Conference paperApplication Of AI To The Multi-Echelon Inventory Optimization Problems
- Pavithra Harsha
- SiewMun Ha
- et al.
- 2020
- INFORMS 2020
Talk