Hi! I am a PhD student at Yale University in the Department of Statistics and Data Science, where I am advised by Prof. Elisa Celis and Prof. Nisheeth K. Vishnoi. Prior to this, I was at École Polytechnique Fédérale de Lausanne (EPFL) for two years.
I am interested in problems related to machine learning, algorithmic fairness and social networks. Broadly, I am intrigued by interactions between society and automation, and the various questions around the potential discriminatory impacts of computation.
I received my Bachelor and Master degrees in Computer Science and Engineering from Indian Institute of Technology, Kanpur under the supervision of Prof. Rajat Mittal.
L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees
Working Paper. arxiv
L. Elisa Celis, Vijay Keswani
Dialect Diversity in Text Summarization on Twitter
Working Paper. arxiv
L. Elisa Celis, Vijay Keswani
Implicit Diversity in Image Summarization
CSCW 2020. arxiv
L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi
Data preprocessing to mitigate bias: A maximum entropy based approach
ICML 2020. arxiv
L. Elisa Celis, Vijay Keswani
Improved Adversarial Learning for Fair Classification
Working Paper. arxiv
L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Vijay Keswani, Nisheeth K. Vishnoi
A Dashboard for Controlling Polarization in Personalization
AI Communications 2019.
L. Elisa Celis, Lingxiao Huang, Vijay Keswani and Nisheeth K. Vishnoi
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
ACM-FAT* 2019. arxiv
L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi
Fair and Diverse DPP-based Data Summarization
ICML 2018. arxiv