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08/17/2023
Semantic Consistency for Assuring Reliability of Large Language Models
Large Language Models (LLMs) exhibit remarkable fluency and competence a...
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11/24/2022
Network Security Modelling with Distributional Data
We investigate the detection of botnet command and control (C2) hosts in...
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11/10/2022
Measuring Reliability of Large Language Models through Semantic Consistency
While large pretrained language models (PLMs) demonstrate incredible flu...
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11/08/2022
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes
New technologies and the availability of geospatial data have drawn atte...
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06/11/2022
Feature Selection using e-values
In the context of supervised parametric models, we introduce the concept...
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08/09/2021
Scaling New Peaks: A Viewership-centric Approach to Automated Content Curation
Summarizing video content is important for video streaming services to e...
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07/02/2021
Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions
High-dimensional data, where the dimension of the feature space is much ...
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05/13/2021
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research
There is an increasing interest in ensuring machine learning (ML) framew...
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03/17/2021
Towards an Open Global Air Quality Monitoring Platform to Assess Children's Exposure to Air Pollutants in the Light of COVID-19 Lockdowns
This ongoing work attempts to understand and address the requirements of...
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01/05/2021
Evaluating Fairness in the Presence of Spatial Autocorrelation
Fairness considerations for spatial data often get confounded by the und...
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12/07/2020
Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity
Differential privacy is the state-of-the-art formal definition for data ...
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10/28/2020
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
Collections of probability distributions arise in a variety of statistic...
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06/10/2020
System to Integrate Fairness Transparently: An Industry Approach
There have been significant research efforts to address the issue of uni...
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05/07/2019
On Weighted Multivariate Sign Functions
Multivariate sign functions are often used for robust estimation and inf...
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03/09/2018
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models
The rapid development of high-throughput technologies has enabled the ge...
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02/14/2018
Ultrahigh-dimensional Robust and Efficient Sparse Regression using Non-Concave Penalized Density Power Divergence
We propose a sparse regression method based on the non-concave penalized...
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02/04/2018