activity
20172020
most citedInformation-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates

40 citations · 71 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20202 cited

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

Mahdi Haghifam, Gintare Karolina Dziugaite, Shay Moran +1

We provide a negative resolution to a conjecture of Steinke and Zakynthinou (2020a), by showing that their bound on the conditional mutual information (CMI) of proper learners of V…

stat.ML2020

Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms

Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti +2

The information-theoretic framework of Russo and J. Zou (2016) and Xu and Raginsky (2017) provides bounds on the generalization error of a learning algorithm in terms of the mutual…

stat.ML2019

Sequential Classification with Empirically Observed Statistics

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

Motivated by real-world machine learning applications, we consider a statistical classification task in a sequential setting where test samples arrive sequentially. In addition, th…

stat.ML201940 cited

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

Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite +2

In this work, we improve upon the stepwise analysis of noisy iterative learning algorithms initiated by Pensia, Jog, and Loh (2018) and recently extended by Bu, Zou, and Veeravalli…

cs.IT201729 cited

Joint Sum Rate And Error Probability Optimization: Finite Blocklength Analysis

Mahdi Haghifam, Mohammad Robat Mili, Behrooz Makki +2

We study the tradeoff between the sum rate and the error probability in downlink of wireless networks. Using the recent results on the achievable rates of finite-length codewords,…