Ashudeep Singh

Ph.D. Candidate, Department of Computer Science Cornell University, Ithaca, NY Contact: mail@ashudeepsingh.com Facebook Github Google+ LinkedIn New: Our new paper Controlling Fairness and Bias in Dynamic Ranking has been accepted to ACM SIGIR 2020. This is joint work with Marco Morik, Jessica Hong, Thorsten Joachims. New: I am very fortunate to be working with Alex Beutel at Google AI on Responsible Recommendation systems research as a Research Intern during the spring. Our new paper on Policy Learning for Fairness in Ranking has been accepted to NeurIPS 2019. We present a policy optimization approach for learning-to-rank and apply it to learning in the presence of fairness constraints. I have the pleasure of working with Fernando Diaz and the FATE: Fairness, Accountability, Transparency, and Ethics in AI team at Microsoft Research Montreal during the summer of 2019.

About Me

I am a Ph.D. Candidate in the department of Computer Science at Cornell University. I work in the area of Machine Learning with Prof. Thorsten Joachims. I am particularly interested in Machine learning for interactive systems thinking about problems in the areas of Counterfactual Learning and Inference, and Personalization for interactive machine learning algorithms. Most recently, I have been focusing on Fairness, Interpretability and Transparency aspects of such algorithms.

In the past, I completed my B.Tech.-M.Tech. dual degree in IIT Kanpur (India) where I worked with Prof. Amitabha Mukerjee. During my undergrad, I also worked with Prof. Carolyn Rosé on studying natural language aspects of collaborative learning agents at Carnegie Mellon University as a summer intern. I spent most of my childhood in the beautiful city of Chandigarh and then spent five wonderful years of my life at IIT Kanpur before moving to Cornell to start my PhD. I love to hike, go camping and do photography.

(For more updated information, please contact me via email.)