Haghifam, Mahdi

11 publications

AAAI 2025 Model AI Assignments 2025 Todd W. Neller, Rasika Bhalerao, Eun Kyung Ko, Vishodana Thamotharan, Lisa Zhang, Sonya Allin, Mahdi Haghifam, Michael Pawliuk, Rutwa Engineer, Florian Shkurti, Cunyan Ma, Daniella DiPaola, Cynthia Breazeal, Loreto Alonzi, Brian Wright, Ali Rivera, Kristin Fasiang, Duri Long, Shruthi Chockkalingam, Giulia Toti, Evan Shieh, Princewill Okoroafor, Thema Monroe-White, Mustafa Haiderbhai, Carolyn Quinlan, Ashwin R. Bharadwaj, Anio Zhang, Rajagopal Venkatesaramani, Sarah Wharton, John Masla, Lydia Guterman, Mary Cate Gustafson-Quiett, Christina A. Bosch, Samar Abu Hegley, Calvin Macatantan, Eric Klopfer, Hal Abelson, Shira Wein, Mercy Wairimu Gachoka, Li-Hsin Chang, Maryam Mirzaei, Mohammad Mahdi Ajallooeian

NeurIPS 2025 On Traceability in $\ell_p$ Stochastic Convex Optimization Sasha Voitovych, Mahdi Haghifam, Idan Attias, Gintare Karolina Dziugaite, Roi Livni, Daniel M. Roy

ICML 2024 Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam, Roi Livni, Daniel M. Roy

NeurIPS 2024 Private Geometric Median Mahdi Haghifam, Thomas Steinke, Jonathan Ullman

NeurIPS 2023 Faster Differentially Private Convex Optimization via Second-Order Methods Arun Ganesh, Mahdi Haghifam, Thomas Steinke, Abhradeep Guha Thakurta

ALT 2023 Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization Mahdi Haghifam, Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy, Gintare Karolina Dziugaite

ICML 2023 Why Is Public Pretraining Necessary for Private Model Training? Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang

COLT 2021 Information-Theoretic Generalization Bounds for Stochastic Gradient Descent Gergely Neu, Gintare Karolina Dziugaite, Mahdi Haghifam, Daniel M. Roy

NeurIPS 2021 Towards a Unified Information-Theoretic Framework for Generalization Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Dan Roy

NeurIPS 2020 Sharpened Generalization Bounds Based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite

NeurIPS 2019 Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy