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01/05/2023
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms
Diversity maximization aims to select a diverse and representative subse...
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11/08/2022
Graph Summarization via Node Grouping: A Spectral Algorithm
Graph summarization via node grouping is a popular method to build conci...
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07/30/2022
Streaming Algorithms for Diversity Maximization with Fairness Constraints
Diversity maximization is a fundamental problem with wide applications i...
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02/01/2022
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways
Recommender systems typically suggest to users content similar to what t...
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10/07/2021
Workload-Aware Materialization of Junction Trees
Bayesian networks are popular probabilistic models that capture the cond...
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06/29/2021
Certifiable Machine Unlearning for Linear Models
Machine unlearning is the task of updating machine learning (ML) models ...
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10/22/2020
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs
The node classification problem is to infer unknown node labels in a gra...
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10/09/2020
Streaming Submodular Maximization with Fairness Constraints
We study the problem of extracting a small subset of representative item...
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07/29/2020
Intersectional Affirmative Action Policies for Top-k Candidates Selection
We study the problem of selecting the top-k candidates from a pool of ap...
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07/19/2020
GRMR: Generalized Regret-Minimizing Representatives
Extracting a small subset of representative tuples from a large database...
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07/02/2020
Towards Data-Driven Affirmative Action Policies under Uncertainty
In this paper, we study university admissions under a centralized system...
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05/23/2019
Affirmative Action Policies for Top-k Candidates Selection, With an Application to the Design of Policies for University Admissions
We consider the problem of designing affirmative action policies for sel...
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03/29/2019
