RECENT PAPERS


  1. Bullet An Algorithmic Framework to Control Bias in Bandit-based Personalization. [arXiv]

L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi


  1. Bullet Fair and Diverse Data Summarization. [arXiv]

L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi

ICML 2018.


  1. Bullet Balanced News Using Constrained Bandit-based Personalization. [Demo Website] [Demo Video]

Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis

IJCAI-ECAI (Demo track) 2018.


  1. Bullet Multiwinner voting with Fairness Constraints. [arxiv]

L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi

IJCAI-ECAI 2018.


  1. Bullet Ranking with Fairness Constraints. [arxiv]

L. Elisa Celis, Damian Straszak, Nisheeth K. Vishnoi

ICALP 2018.


  1. Bullet Fair Personalization. [arxiv]

L. Elisa Celis, Nisheeth K. Vishnoi

Fairness, Accountability and Transparency in ML, 2017.


  1. Bullet On the Complexity of Constrained Determinantal Point Processes. [arxiv]

L. Elisa Celis, Amit Deshpande, Tarun Kathuria, Damian Straszak, Nisheeth K. Vishnoi

RANDOM 2017.


  1. Bullet Real stable polynomials and matroids: optimization and counting. [arxiv]

Damian Straszak, Nisheeth K. Vishnoi

STOC 2017.


  1. Bullet How to be fair and diverse? [arxiv]

L. Elisa Celis, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi

Fairness, Accountability and Transparency in ML, 2016 (Selected for presentation).



OTHER TOPICS


BulletAlogrithms & Complexity, Optimization, Dynamical Systems, Probability


BulletNatural Algorithms and Evolution



ALL PAPERS