Fair and Diverse DPP-based Data Summarization

12 February 2018

Papers citing "Fair and Diverse DPP-based Data Summarization"

36 / 36 papers shown

Title
What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity Youjin Kong FaML 37 0 0 20 Jun 2025
Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs Qizhe Zhang Mengzhen Liu Lichen Li Ming Lu Yuan Zhang Junwen Pan Qi She Shanghang Zhang VLM 115 0 0 12 Jun 2025
Fair Abstractive Summarization of Diverse Perspectives Yusen Zhang Nan Zhang Yixin Liu Alexander R. Fabbri Junru Liu ... Caiming Xiong Jieyu Zhao Dragomir R. Radev Kathleen McKeown Rui Zhang 79 11 0 14 Nov 2023
Fairness in Streaming Submodular Maximization over a Matroid Constraint Marwa El Halabi Federico Fusco A. Norouzi-Fard Jakab Tardos Jakub Tarnawski 59 8 0 24 May 2023
Group Fairness in Non-monotone Submodular Maximization Jing Yuan Shaojie Tang 67 7 0 03 Feb 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 110 78 0 11 Jan 2023
Max-Min Diversification with Fairness Constraints: Exact and Approximation Algorithms Yanhao Wang M. Mathioudakis Jia Li Francesco Fabbri 135 4 0 05 Jan 2023
Streaming Algorithms for Diversity Maximization with Fairness Constraints Yanhao Wang Francesco Fabbri M. Mathioudakis 57 9 0 30 Jul 2022
Group Equality in Adaptive Submodular Maximization Shaojie Tang Jing Yuan 61 5 0 07 Jul 2022
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems Ella Rabinovich Matan Vetzler David Boaz Vineet Kumar Gaurav Pandey Ateret Anaby-Tavor 48 7 0 11 Apr 2022
Fast Feature Selection with Fairness Constraints Francesco Quinzan Rajiv Khanna Moshik Hershcovitch S. Cohen Daniel Waddington Tobias Friedrich Michael W. Mahoney 51 4 0 28 Feb 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S M. Bagherzadeh AAML 99 45 0 20 Dec 2021
Coresets for Time Series Clustering Lingxiao Huang K. Sudhir Nisheeth K. Vishnoi AI4TS 62 19 0 28 Oct 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 76 101 0 27 Sep 2021
Spanning Tree Constrained Determinantal Point Processes are Hard to (Approximately) Evaluate Tatsuya Matsuoka Naoto Ohsaka 29 4 0 25 Feb 2021
A Local Search Framework for Experimental Design L. Lau Hong Zhou 48 8 0 29 Oct 2020
Fairness in Streaming Submodular Maximization: Algorithms and Hardness Marwa El Halabi Slobodan Mitrović A. Norouzi-Fard Jakab Tardos Jakub Tarnawski 53 49 0 14 Oct 2020
Sampling from a $k$ -DPP without looking at all items Daniele Calandriello Michal Derezinski Michal Valko 61 24 0 30 Jun 2020
Maximizing Determinants under Matroid Constraints V. Madan Aleksandar Nikolov Mohit Singh U. Tantipongpipat 57 8 0 16 Apr 2020
Finding Fair and Efficient Allocations When Valuations Don't Add Up Nawal Benabbou Mithun Chakraborty Ayumi Igarashi Yair Zick 59 56 0 16 Mar 2020
How to Solve Fair $k$ -Center in Massive Data Models Ashish Chiplunkar S. Kale Sivaramakrishnan Natarajan Ramamoorthy 66 41 0 18 Feb 2020
Interventions for Ranking in the Presence of Implicit Bias L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi 86 65 0 23 Jan 2020
Coresets for Clustering with Fairness Constraints Lingxiao Huang S. Jiang Nisheeth K. Vishnoi 129 105 0 20 Jun 2019
Variational Fair Clustering Imtiaz Masud Ziko Eric Granger Jing Yuan Ismail Ben Ayed 93 13 0 19 Jun 2019
Flexible Modeling of Diversity with Strongly Log-Concave Distributions Joshua Robinson S. Sra Stefanie Jegelka 62 12 0 12 Jun 2019
Equalized odds postprocessing under imperfect group information Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern 92 91 0 07 Jun 2019
Exact sampling of determinantal point processes with sublinear time preprocessing Michal Derezinski Daniele Calandriello Michal Valko 105 55 0 31 May 2019
Stable and Fair Classification Lingxiao Huang Nisheeth K. Vishnoi FaML 156 72 0 21 Feb 2019
Implicit Diversity in Image Summarization L. E. Celis Vijay Keswani 110 35 0 29 Jan 2019
Guarantees for Spectral Clustering with Fairness Constraints Matthäus Kleindessner Samira Samadi Pranjal Awasthi Jamie Morgenstern 105 158 0 24 Jan 2019
Fair k-Center Clustering for Data Summarization Matthäus Kleindessner Pranjal Awasthi Jamie Morgenstern 109 165 0 24 Jan 2019
Eliminating Latent Discrimination: Train Then Mask Soheil Ghili Ehsan Kazemi Amin Karbasi FaML 117 11 0 12 Nov 2018
Correcting the bias in least squares regression with volume-rescaled sampling Michal Derezinski Manfred K. Warmuth Daniel J. Hsu 60 15 0 04 Oct 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 251 310 0 15 Jun 2018
Leveraged volume sampling for linear regression Michal Derezinski Manfred K. Warmuth Daniel J. Hsu 102 58 0 19 Feb 2018
Maximum Entropy Distributions: Bit Complexity and Stability D. Straszak Nisheeth K. Vishnoi 64 10 0 06 Nov 2017