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.

Preprints

• L. Elisa Celis, Vijay Keswani
  Dialect Diversity in Text Summarization on Twitter
  arxiv

• L. Elisa Celis, Vijay Keswani
  Improved Adversarial Learning for Fair Classification
  arxiv

Publications

• L. Elisa Celis, Vijay Keswani
  Implicit Diversity in Image Summarization
  To appear in 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, 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

Fairness in AI

• Check out the website cs.yale.edu/bias for demos related to the algorithms we have developed to control bias in AI.

Master’s Thesis

• Laplacian Solvers and Graph Sparsification (pdf)
  Supervised by Prof. Rajat Mittal.