2.4k citations · 2.7k across the 42 of their papers we have counts for
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Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding
Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan +1
Causal inference of exact individual treatment outcomes in the presence of hidden confounders is rarely possible. Recent work has extended prediction intervals with finite-sample g…
Exacerbating Algorithmic Bias through Fairness Attacks
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter +1
Algorithmic fairness has attracted significant attention in recent years, with many quantitative measures suggested for characterizing the fairness of different machine learning al…
One-shot Learning for Temporal Knowledge Graphs
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren +2
Most real-world knowledge graphs are characterized by a long-tail relation frequency distribution where a significant fraction of relations occurs only a handful of times. This obs…
Statistical Equity: A Fairness Classification Objective
Ninareh Mehrabi, Yuzhong Huang, Fred Morstatter
Machine learning systems have been shown to propagate the societal errors of the past. In light of this, a wealth of research focuses on designing solutions that are "fair." Even w…
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data
Woojeong Jin, Rahul Khanna, Suji Kim +4
Event forecasting is a challenging, yet important task, as humans seek to constantly plan for the future. Existing automated forecasting studies rely mostly on structured data, suc…
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena +2
With the widespread use of AI systems and applications in our everyday lives, it is important to take fairness issues into consideration while designing and engineering these types…
Feature Selection: A Data Perspective
Jundong Li, Kewei Cheng, Suhang Wang +4
Feature selection, as a data preprocessing strategy, has been proven to be effective and efficient in preparing data (especially high-dimensional data) for various data mining and…