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06/22/2023
Auditing Predictive Models for Intersectional Biases
Predictive models that satisfy group fairness criteria in aggregate for ...
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06/19/2023
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness
In this paper, we develop a new criterion, "insufficiently justified dis...
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02/13/2023
Provable Detection of Propagating Sampling Bias in Prediction Models
With an increased focus on incorporating fairness in machine learning mo...
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06/26/2022
Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs
We propose a new approach, the calibrated nonparametric scan statistic (...
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11/19/2021
Positional Encoder Graph Neural Networks for Geographic Data
Graph neural networks (GNNs) provide a powerful and scalable solution fo...
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09/30/2021
SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
From ecology to atmospheric sciences, many academic disciplines deal wit...
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11/11/2020
Policing Chronic and Temporary Hot Spots of Violent Crime: A Controlled Field Experiment
Hot-spot-based policing programs aim to deter crime through increased pr...
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06/18/2020
SXL: Spatially explicit learning of geographic processes with auxiliary tasks
From earth system sciences to climate modeling and ecology, many of the ...
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11/09/2018
Modeling Rape Reporting Delays Using Spatial, Temporal and Social Features
We present a novel approach to estimate the delay observed between the o...
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10/28/2018
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction
Identifying changes in model parameters is fundamental in machine learni...
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04/04/2018
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
Identifying anomalous patterns in real-world data is essential for under...
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03/24/2018
Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
The randomized experiment is an important tool for inferring the causal ...
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10/06/2017
Machine Learning for Drug Overdose Surveillance
We describe two recently proposed machine learning approaches for discov...
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01/05/2017
Graph Structure Learning from Unlabeled Data for Event Detection
Processes such as disease propagation and information diffusion often sp...
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02/13/2016