33 citations · 174 across the 45 of their papers we have counts for
49 papers
Quickest Change Detection in Parametric Models With 1-Bit Measurements
Liyan Xie, Martina Cardone
We consider the quickest change detection from 1-bit quantized observations, where the post-change distribution is a parametric model with unknown parameters and the quantization t…
Two-Level Priority Coding for Resilience to Arbitrary Blockage Patterns
Mine Gokce Dogan, Abhiram Kadiyala, Jaimin Shah +2
Ultra-reliable low-latency communication is essential in mission-critical settings, including military applications, where persistent and asymmetric link blockages caused by mobili…
Lossy Source Coding with Focal Loss
Alex Dytso, Martina Cardone
Focal loss has recently gained significant popularity, particularly in tasks like object detection where it helps to address class imbalance by focusing more on hard-to-classify ex…
Generalized Linear Models with 1-Bit Measurements: Asymptotics of the Maximum Likelihood Estimator
Jaimin Shah, Martina Cardone, Cynthia Rush +1
This work establishes regularity conditions for consistency and asymptotic normality of the multiple parameter maximum likelihood estimator(MLE) from censored data, where the censo…
On the Secrecy Capacity of 1-2-1 Atomic Networks
Mohammad Milanian, Minoh Jeong, Martina Cardone
We consider the problem of secure communication over a noiseless 1-2-1 network, an abstract model introduced to capture the directivity characteristic of mmWave communications. We…
A Comprehensive Study on Ziv-Zakai Lower Bounds on the MMSE
Minoh Jeong, Alex Dytso, Martina Cardone
This paper explores Bayesian lower bounds on the minimum mean squared error (MMSE) that belong to the Ziv-Zakai (ZZ) family. The ZZ technique relies on connecting the bound to an M…
Sparsity-Constrained Community-Based Group Testing
Sarthak Jain, Martina Cardone, Soheil Mohajer
In this work, we consider the sparsity-constrained community-based group testing problem, where the population follows a community structure. In particular, the community consists…
Achieving Low Latency at Low Outage: Multilevel Coding for mmWave Channels
Mine Gokce Dogan, Jaimin Shah, Martina Cardone +4
Millimeter-wave (mmWave) spectrum is expected to support data-intensive applications that require ultra-reliable low-latency communications (URLLC). However, mmWave links are highl…
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels
Minoh Jeong, Martina Cardone, Alex Dytso
Classification is a fundamental task in many applications on which data-driven methods have shown outstanding performances. However, it is challenging to determine whether such met…
Uniform Distribution on -Sphere: Rate-Distortion under Squared Error Distortion
Alex Dytso, Martina Cardone
This paper investigates the rate-distortion function, under a squared error distortion , for an -dimensional random vector uniformly distributed on an -sphere of radiu…
Supporting Passive Users in mmWave Networks
Mine Gokce Dogan, Martina Cardone, Christina Fragouli
The interference from active to passive users is a well-recognized challenge in millimeter-wave (mmWave) communications. We propose a method that enables to limit the interference…
Probabilistic Group Testing in Distributed Computing with Attacked Workers
Sarthak Jain, Martina Cardone, Soheil Mohajer
The problem of distributed matrix-vector product is considered, where the server distributes the task of the computation among worker nodes, out of which are compromised (b…
Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs
Minoh Jeong, Alex Dytso, Martina Cardone
This paper explores the Ziv-Zakai bound (ZZB), which is a well-known Bayesian lower bound on the Minimum Mean Squared Error (MMSE). First, it is shown that the ZZB holds without an…
Proactive Resilient Transmission and Scheduling Mechanisms for mmWave Networks
Mine Gokce Dogan, Martina Cardone, Christina Fragouli
This paper aims to develop resilient transmission mechanisms to suitably distribute traffic across multiple paths in an arbitrary millimeter-wave (mmWave) network. The main contrib…
An MMSE Lower Bound via Poincaré Inequality
Ian Zieder, Alex Dytso, Martina Cardone
This paper studies the minimum mean squared error (MMSE) of estimating from the noisy observation , under the assumption…
Entropic CLT for Order Statistics
Martina Cardone, Alex Dytso, Cynthia Rush
It is well known that central order statistics exhibit a central limit behavior and converge to a Gaussian distribution as the sample size grows. This paper strengthens this known…
Retrieving Data Permutations from Noisy Observations: High and Low Noise Asymptotics
Minoh Jeong, Alex Dytso, Martina Cardone
This paper considers the problem of recovering the permutation of an n-dimensional random vector X observed in Gaussian noise. First, a general expression for the probability of er…
A General Derivative Identity for the Conditional Expectation with Focus on the Exponential Family
Alex Dytso, Martina Cardone
Consider a pair of random vectors and the conditional expectation operator . This work studies analytic pro…
When an Energy-Efficient Scheduling is Optimal for Half-Duplex Relay Networks?
Sarthak Jain, Martina Cardone, Soheil Mohajer
This paper considers a diamond network with interconnected relays, namely a network where a source communicates with a destination by hopping information through communicat…
The Most Informative Order Statistic and its Application to Image Denoising
Alex Dytso, Martina Cardone, Cynthia Rush
We consider the problem of finding the subset of order statistics that contains the most information about a sample of random variables drawn independently from some known parametr…
Measuring Dependencies of Order Statistics: An Information Theoretic Perspective
Alex Dytso, Martina Cardone, Cynthia Rush
Consider a random sample drawn independently and identically distributed from some known sampling distribution . Let $X_{(1)} \le X_{(2)} \le ... \le X_…
Gaussian 1-2-1 Networks with Imperfect Beamforming
Yahya H. Ezzeldin, Martina Cardone, Christina Fragouli +1
In this work, we study bounds on the capacity of full-duplex Gaussian 1-2-1 networks with imperfect beamforming. In particular, different from the ideal 1-2-1 network model introdu…
Recovering Data Permutations from Noisy Observations: The Linear Regime
Minoh Jeong, Alex Dytso, Martina Cardone +1
This paper considers a noisy data structure recovery problem. The goal is to investigate the following question: Given a noisy observation of a permuted data set, according to whic…
Best Relay Selection in Gaussian Half-Duplex Diamond Networks
Sarthak Jain, Soheil Mohajer, Martina Cardone
This paper considers Gaussian half-duplex diamond -relay networks, where a source communicates with a destination by hopping information through one layer of non-communicati…