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08/04/2023
Auditing Yelp's Business Ranking and Review Recommendation Through the Lens of Fairness
Web 2.0 recommendation systems, such as Yelp, connect users and business...
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07/25/2023
Online Maximum Independent Set of Hyperrectangles
The maximum independent set problem is a classical NP-hard problem in th...
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07/21/2023
A Fair and Memory/Time-efficient Hashmap
There is a large amount of work constructing hashmaps to minimize the nu...
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07/14/2023
Efficient Strongly Polynomial Algorithms for Quantile Regression
Linear Regression is a seminal technique in statistics and machine learn...
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07/06/2023
Through the Fairness Lens: Experimental Analysis and Evaluation of Entity Matching
Entity matching (EM) is a challenging problem studied by different commu...
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06/24/2023
Data Coverage for Detecting Representation Bias in Image Datasets: A Crowdsourcing Approach
Existing machine learning models have proven to fail when it comes to th...
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06/15/2023
Sampling-Based Techniques for Training Deep Neural Networks with Limited Computational Resources: A Scalability Evaluation
Deep neural networks are superior to shallow networks in learning comple...
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05/25/2023
Maximizing Neutrality in News Ordering
The detection of fake news has received increasing attention over the pa...
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04/25/2023
PopSim: An Individual-level Population Simulator for Equitable Allocation of City Resources
Historical systematic exclusionary tactics based on race have forced peo...
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04/10/2023
FairPilot: An Explorative System for Hyperparameter Tuning through the Lens of Fairness
Despite the potential benefits of machine learning (ML) in high-risk dec...
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04/16/2022
Data-Centric Distrust Quantification for Responsible AI: When Data-driven Outcomes Are Not Reliable
At the same time that AI and machine learning are becoming central to hu...
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03/22/2022
A Survey on Techniques for Identifying and Resolving Representation Bias in Data
The grand goal of data-driven decision-making is to help humans make dec...
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09/13/2021
On the Choice of Fairness: Finding Representative Fairness Metrics for a Given Context
It is of critical importance to be aware of the historical discriminatio...
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03/13/2021
OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning
Machine learning (ML) is increasingly being used to make decisions in ou...
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10/17/2020
MithraDetective: A System for Cherry-picked Trendlines Detection
Given a data set, misleading conclusions can be drawn from it by cherry-...
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07/16/2020
Maximizing coverage while ensuring fairness: a tale of conflicting objective
Ensuring fairness in computational problems has emerged as a key topic d...
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01/06/2020
Fair Active Learning
Bias in training data and proxy attributes are probably the main reasons...
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11/22/2019
Responsible Scoring Mechanisms Through Function Sampling
Human decision-makers often receive assistance from data-driven algorith...
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10/15/2018
Assessing and Remedying Coverage for a Given Dataset
Data analysis impacts virtually every aspect of our society today. Often...
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07/13/2018
QR2: A Third-party Query Reranking Service Over Web Databases
The ranked retrieval model has rapidly become the de-facto way for searc...
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04/29/2018
On Obtaining Stable Rankings
We often have to rank items with multiple attributes in a dataset. A typ...
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04/21/2018
A Nutritional Label for Rankings
Algorithmic decisions often result in scoring and ranking individuals to...
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02/28/2018
RRR: Rank-Regret Representative
We propose the rank-regret representative as a way of choosing a small s...
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05/08/2017
Assisting Service Providers In Peer-to-peer Marketplaces: Maximizing Gain Over Flexible Attributes
Peer to peer marketplaces such as AirBnB enable transactional exchange o...
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09/15/2014