Ayush Kanodia

Building a delightful AI augmented knowledge acquisition experience

Research Interests

I work at the intersection of Economics and Machine Learning, using methods from each into the other, which I became interested in during my PhD. My focus areas are machine learning applied to economic structural modeling and causal inference (and vice versa), and recommendation systems. Additionally, I like to learn about/use Deep Learning methods, Reinforcement Learning and Language Processing methods towards these goals. During my PhD, I also did research at IIM Calcutta where I worked on applying Machine Learning to Macroeconomics and Finance, building NLP based estimators for inflation and corporate financial distress. Prior to this, I did research in Databases and Information Retrieval at IIT Bombay, which I became interested in again after Large Language Models became popular, and I started working on LLM based information retrieval and recommendations. I’ve also worked in combinatorial game theory and auction theory at IST Austria, and in cryptography at Microsoft Research Redmond.

Publications

Below are my research publications:

  1. Torch-Choice: A PyTorch Package for Large-Scale Choice Modelling with Python, Du, Tianyu; Kanodia, Ayush; Athey, Susan, arXiv preprint arXiv:2304.01906, 2023
  2. Personalized Recommendations in EdTech: Evidence from a Randomized Controlled Trial, Agrawal, Keshav; Athey, Susan; Kanodia, Ayush; Palikot, Emil, arXiv preprint arXiv:2208.13940, 2022
  3. Welfare effects of personalized rankings, Donnelly, Robert; Kanodia, Ayush; Morozov, Ilya, Available at SSRN 3649342, 2022
  4. Learning Transferrable Representations of Career Trajectories for Economic Prediction, Vafa, Keyon; Palikot, Emil; Du, Tianyu; Kanodia, Ayush; Athey, Susan; Blei, David M, arXiv preprint arXiv:2202.08370, 2022
  5. policytree: Policy learning via doubly robust empirical welfare maximization over trees, Sverdrup, Erik; Kanodia, Ayush; Zhou, Zhengyuan; Athey, Susan; Wager, Stefan, Journal of Open Source Software, vol. 5, no. 50, pp. 2232, 2020
  6. Optimal cost almost-sure reachability in POMDPs, Chatterjee, Krishnendu; Chmelik, Martin; Gupta, Raghav; Kanodia, Ayush, Artificial Intelligence, vol. 234, pp. 26-48, 2016
  7. Qualitative analysis of POMDPs with temporal logic specifications for robotics applications, Chatterjee, Krishnendu; Chmelik, Martin; Gupta, Raghav; Kanodia, Ayush, 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 325-330, 2015
  8. Biological auctions with multiple rewards, Reiter, Johannes G; Kanodia, Ayush; Gupta, Raghav; Nowak, Martin A; Chatterjee, Krishnendu, Proceedings of the Royal Society B: Biological Sciences, vol. 282, no. 1812, pp. 20151041, 2015
  9. Deciphering Indian inflationary expectations through text mining: an exploratory approach, Banerjee, Ashok; Kanodia, Ayush; Ray, Partha, Indian Economic Review, vol. 56, pp. 49-66, 2021