Pistoia, Marco

5 publications

NeurIPS 2025 A Unified Framework for Provably Efficient Algorithms to Estimate Shapley Values Tyler Chen, Akshay Seshadri, Mattia Jacopo Villani, Pradeep Niroula, Shouvanik Chakrabarti, Archan Ray, Pranav Deshpande, Romina Yalovetzky, Marco Pistoia, Niraj Kumar

NeurIPS 2025 Fast Zeroth-Order Convex Optimization with Quantum Gradient Methods Junhyung Lyle Kim, Brandon Augustino, Dylan Herman, Enrico Fontana, Jacob Watkins, Marco Pistoia, Shouvanik Chakrabarti

ICML 2024 MaSS: Multi-Attribute Selective Suppression for Utility-Preserving Data Transformation from an Information-Theoretic Perspective Yizhuo Chen, Chun-Fu Chen, Hsiang Hsu, Shaohan Hu, Marco Pistoia, Tarek F. Abdelzaher

NeurIPSW 2023 Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia

NeurIPS 2019 More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David Cox