research
∙
04/08/2023
Inference on a class of exponential families on permutations
In this paper we study a class of exponential family on permutations, wh...
share
research
∙
12/07/2022
LDP for Inhomogeneous U-Statistics
In this paper we derive a Large Deviation Principle (LDP) for inhomogene...
research
∙
10/24/2022
Ising Models on Dense Regular Graphs
In this paper, we derive the limit of experiments for one parameter Isin...
research
∙
10/20/2021
Simulating Ising and Potts models at critical and cold temperatures using auxiliary Gaussian variables
Ising and Potts models are an important class of discrete probability di...
research
∙
08/20/2021
Signal Detection in Degree Corrected ERGMs
In this paper, we study sparse signal detection problems in Degree Corre...
research
∙
06/15/2021
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Diferentially private (DP) synthetic datasets are a powerful approach fo...
research
∙
06/09/2021
A machine learning pipeline for aiding school identification from child trafficking images
Child trafficking in a serious problem around the world. Every year ther...
research
∙
04/25/2021
Variational Inference in high-dimensional linear regression
We study high-dimensional Bayesian linear regression with product priors...
research
∙
04/23/2021
Becoming Good at AI for Good
AI for good (AI4G) projects involve developing and applying artificial i...
research
∙
01/18/2021
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
We introduce FELICIA (FEderated LearnIng with a CentralIzed Adversary) a...
research
∙
12/10/2020
Detecting Structured Signals in Ising Models
In this paper, we study the effect of dependence on detecting a class of...
research
∙
11/05/2020
Motif Estimation via Subgraph Sampling: The Fourth Moment Phenomenon
Network sampling is an indispensable tool for understanding features of ...
research
∙
09/11/2020
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Generative models are widely used for publishing synthetic datasets. Des...
research
∙
12/31/2019
Protecting GANs against privacy attacks by preventing overfitting
Generative Adversarial Networks (GANs) have made releasing of synthetic ...
research
∙
10/04/2019
Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India
Artificial intelligence (AI) has evolved considerably in the last few ye...
research
∙
01/19/2018
Joint estimation of parameters in Ising model
We study joint estimation of the inverse temperature and magnetization p...
research
∙
01/05/2013
Comparative Studies on Decentralized Multiloop PID Controller Design Using Evolutionary Algorithms
Decentralized PID controllers have been designed in this paper for simul...
research
∙
12/13/2012