Fetching the paper…
Reading the bibliography…
Due to the recent cases of algorithmic bias in data-driven decision-making, machine learning methods are being put under the microscope in order to understand the root cause of these biases and how to correct them.
Measurement of diversity
Edward H Simpson · 1949
Earlier work this paper cites.
Object recognition from local scale-invariant features
David G. Lowe · 1999
Earlier work this paper cites.
On the nyström method for approximating a gram matrix for improved kernel-based learning
Petros Drineas and Michael W. Mahoney · 2005
Earlier work this paper cites.
Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies
Andreas Krause, Ajit Paul Singh, and Carlos Guestrin · 2008
Earlier work this paper cites.
Vlfeat: An open and portable library of computer vision algorithms
A. Vedaldi and B. Fulkerson · 2008
Earlier work this paper cites.
Classifying without discriminating
Faisal Kamiran and Toon Calders · 2009
Earlier work this paper cites.
Efficient volume sampling for row/column subset selection
A. Deshpande and L. Rademacher · 2010
Earlier work this paper cites.
Solving the apparent diversity-accuracy dilemma of recommender systems
Tao Zhou, Zoltán Kuscsik, Jian-Guo Liu, Matúš Medo, Joseph Rushton Wakeling, and Yi-Cheng Zhang · 2010
Cited alongside, same era.
k-dpps: Fixed-size determinantal point processes
Alex Kulesza and Ben Taskar · 2011
Cited alongside, same era.
Fairness through awareness
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel · 2012
Cited alongside, same era.
Determinantal point processes for machine learning
Alex Kulesza and Ben Taskar · 2012
Cited alongside, same era.
Learning mixtures of submodular shells with application to document summarization
Hui Lin and Jeff A. Bilmes · 2012
Cited alongside, same era.
Revisiting the nystrom method for improved large-scale machine learning
Alex Gittens and Michael W. Mahoney · 2013
Big Data’s Disparate Impact
S. Barocas and A.D. Selbst · 2015
Later among the works it cites.
Fairness Constraints: A Mechanism for Fair Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna Gummadi · 2015
Later among the works it cites.
Monte carlo markov chain algorithms for sampling strongly rayleigh distributions and determinantal point processes
Nima Anari, Shayan Oveis Gharan, and Alireza Rezaei · 2016
Closest in time.
Semantics derived automatically from language corpora necessarily contain human biases
Aylin Caliskan Islam, Joanna J. Bryson, and Arvind Narayanan · 2016
Closest in time.
On Sampling and Greedy MAP Inference of Constrained Determinantal Point Processes
Tarun Kathuria and Amit Deshpande · 2016
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Diverse sequential subset selection for supervised video summarization
Boqing Gong, Wei-Lun Chao, Kristen Grauman, and Fei Sha · 2014
Cited alongside, same era.
C. O’Neil · 2016
Closest in time.
Generalized determinantal point processes: The linear case
Damian Straszak and Nisheeth Vishnoi · 2016
Closest in time.