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CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors., , , and . CoRR, (2019)Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access., , , , and . CoRR, (2023)REFRESH: Responsible and Efficient Feature Reselection guided by SHAP values., , , , , and . AIES, page 443-453. ACM, (2023)A Unified Coded Deep Neural Network Training Strategy Based on Generalized PolyDot Codes for Matrix Multiplication., , , , and . CoRR, (2018)Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD., , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 803-812. PMLR, (2018)MONOPOLY: Financial Prediction from MONetary POLicY Conference Videos Using Multimodal Cues., , , , , , , and . ACM Multimedia, page 2276-2285. ACM, (2022)Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees., , , , and . IEEE J. Sel. Areas Inf. Theory, (2024)A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition., and . CoRR, (2024)REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values., , , , , and . CoRR, (2024)Strategies for Fair, Explainable, and Reliable Machine Learning Using Information Theory.. Carnegie Mellon University, USA, (2022)