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ORCIDMahdi Haghifam
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2020 – today
- 2024
[j4]Milad Hoseinpour
, Mohammad Hoseinpour, Mahdi Haghifam, Mahmoud-Reza Haghifam:
Privacy-Preserving and Approximately Truthful Local Electricity Markets: A Differentially Private VCG Mechanism. IEEE Trans. Smart Grid 15(2): 1991-2003 (2024)- [c10]Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam, Roi Livni, Daniel M. Roy:
Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing. ICML 2024 - [i14]Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam, Roi Livni, Daniel M. Roy:
Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization. CoRR abs/2402.09327 (2024) - [i13]Mahdi Haghifam, Thomas Steinke, Jonathan R. Ullman:
Private Geometric Median. CoRR abs/2406.07407 (2024) - 2023
- [c9]Mahdi Haghifam, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy, Gintare Karolina Dziugaite:
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization. ALT 2023: 663-706 - [c8]Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang:
Why Is Public Pretraining Necessary for Private Model Training? ICML 2023: 10611-10627 - [c7]Arun Ganesh, Mahdi Haghifam, Thomas Steinke, Abhradeep Guha Thakurta:
Faster Differentially Private Convex Optimization via Second-Order Methods. NeurIPS 2023 - [i12]Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Thakurta, Lun Wang:
Why Is Public Pretraining Necessary for Private Model Training? CoRR abs/2302.09483 (2023) - [i11]Arun Ganesh, Mahdi Haghifam, Thomas Steinke, Abhradeep Thakurta:
Faster Differentially Private Convex Optimization via Second-Order Methods. CoRR abs/2305.13209 (2023) - 2022
- [c6]Mahdi Haghifam, Shay Moran, Daniel M. Roy, Gintare Karolina Dziugaite:
Understanding Generalization via Leave-One-Out Conditional Mutual Information. ISIT 2022: 2487-2492 - [i10]Mahdi Haghifam, Shay Moran, Daniel M. Roy, Gintare Karolina Dziugaite:
Understanding Generalization via Leave-One-Out Conditional Mutual Information. CoRR abs/2206.14800 (2022) - [i9]Mahdi Haghifam, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy, Gintare Karolina Dziugaite:
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization. CoRR abs/2212.13556 (2022) - 2021
- [j3]Mahdi Haghifam, M. Nikhil Krishnan, Ashish Khisti, Xiaoqing Zhu, Wai-Tian Tan, John G. Apostolopoulos:
On Streaming Codes With Unequal Error Protection. IEEE J. Sel. Areas Inf. Theory 2(4): 1165-1179 (2021) - [j2]Mahdi Haghifam, Vincent Y. F. Tan, Ashish Khisti:
Sequential Classification With Empirically Observed Statistics. IEEE Trans. Inf. Theory 67(5): 3095-3113 (2021) - [c5]Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Daniel M. Roy:
Towards a Unified Information-Theoretic Framework for Generalization. NeurIPS 2021: 26370-26381 - [i8]Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Daniel M. Roy:
Towards a Unified Information-Theoretic Framework for Generalization. CoRR abs/2111.05275 (2021) - 2020
- [c4]Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite:
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms. NeurIPS 2020 - [i7]Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite:
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms. CoRR abs/2004.12983 (2020) - [i6]Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran, Daniel M. Roy:
On the Information Complexity of Proper Learners for VC Classes in the Realizable Case. CoRR abs/2011.02970 (2020)
2010 – 2019
- 2019
- [c3]Mahdi Haghifam, Vincent Y. F. Tan, Ashish Khisti:
Sequential Classification with Empirically Observed Statistics. ITW 2019: 1-5 - [c2]Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy:
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. NeurIPS 2019: 11013-11023 - [i5]Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy:
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates. CoRR abs/1911.02151 (2019) - [i4]Mahdi Haghifam, Vincent Y. F. Tan, Ashish Khisti:
Sequential Classification with Empirically Observed Statistics. CoRR abs/1912.01170 (2019) - 2017
- [j1]Mahdi Haghifam, Mohammad Robat Mili, Behrooz Makki, Masoumeh Nasiri-Kenari, Tommy Svensson:
Joint Sum Rate and Error Probability Optimization: Finite Blocklength Analysis. IEEE Wirel. Commun. Lett. 6(6): 726-729 (2017) - [i3]Mahdi Haghifam, Mohammad Robat Mili, Behrooz Makki, Masoumeh Nasiri-Kenari, Tommy Svensson:
Joint Sum Rate And Error Probability Optimization: Finite Blocklength Analysis. CoRR abs/1707.09735 (2017) - 2016
- [c1]Mahdi Haghifam, Behrooz Makki, Masoumeh Nasiri-Kenari, Tommy Svensson:
On joint energy and information transfer in relay networks with an imperfect power amplifier. PIMRC 2016: 1-6 - [i2]Mahdi Haghifam, Behrooz Makki, Masoumeh Nasiri-Kenari, Tommy Svensson:
On Wireless Energy and Information Transfer in Relay Networks. CoRR abs/1607.07087 (2016) - [i1]Mahdi Haghifam, Behrooz Makki, Masoumeh Nasiri-Kenari, Tommy Svensson, Michele Zorzi:
Wireless-powered relaying with finite block-length codes. CoRR abs/1611.05995 (2016)
Coauthor Index
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