Ashudeep Singh
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Third Year Ph.D. student
New Our new paper on Policy Learning for Fairness in Ranking is up on arXiv. We present a policy optimization approach for learning-to-rank and apply it to learning in the presence of fairness constraints. |
About Me
I am a Ph.D. student at 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. My research ideas touch the areas of Counterfactual Learning and Inference, and Personalization for interactive machine learning algorithms. I have recently been focusing on Fairness, Interpretability and Transparency aspects of such Machine Learning 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.
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