Mahdi Haghifam

According to our database, Mahdi Haghifam authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Privacy-Preserving and Approximately Truthful Local Electricity Markets: A Differentially Private VCG Mechanism.

Milad Hoseinpour, Mohammad Hoseinpour, Mahdi Haghifam, Mahmoud-Reza Haghifam

IEEE Trans. Smart Grid, 2024

Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization.

Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam, Roi Livni, Daniel M. Roy

CoRR, 2024

2023

Faster Differentially Private Convex Optimization via Second-Order Methods.

Arun Ganesh, Mahdi Haghifam, Thomas Steinke, Abhradeep Guha Thakurta

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Understanding Generalization via Leave-One-Out Conditional Mutual Information.

Mahdi Haghifam, Shay Moran, Daniel M. Roy, Gintare Karolina Dziugaite

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Sequential Classification With Empirically Observed Statistics.

Mahdi Haghifam, Vincent Y. F. Tan, Ashish Khisti

IEEE Trans. Inf. Theory, 2021

On Streaming Codes With Unequal Error Protection.

Mahdi Haghifam, M. Nikhil Krishnan, Ashish Khisti, Xiaoqing Zhu, Wai-Tian Tan, John G. Apostolopoulos

IEEE J. Sel. Areas Inf. Theory, 2021

Towards a Unified Information-Theoretic Framework for Generalization.

Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Daniel M. Roy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

On the Information Complexity of Proper Learners for VC Classes in the Realizable Case.

Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Daniel M. Roy

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates.

Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

Joint Sum Rate and Error Probability Optimization: Finite Blocklength Analysis.

Mahdi Haghifam, Mohammad Robat Mili, Behrooz Makki, Masoumeh Nasiri-Kenari, Tommy Svensson

IEEE Wirel. Commun. Lett., 2017

2016

Wireless-powered relaying with finite block-length codes.

Mahdi Haghifam, Behrooz Makki, Masoumeh Nasiri-Kenari, Tommy Svensson, Michele Zorzi

CoRR, 2016

On Wireless Energy and Information Transfer in Relay Networks.

Mahdi Haghifam, Behrooz Makki, Masoumeh Nasiri-Kenari, Tommy Svensson

CoRR, 2016

On joint energy and information transfer in relay networks with an imperfect power amplifier.

Mahdi Haghifam, Behrooz Makki, Masoumeh Nasiri-Kenari, Tommy Svensson

Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016