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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Efficient computation of MMLU-scores
Published:
Relinking the blog post I wrote at Vijil where we enabled scoring against benchmarks (MMLU) by using the tinyBenchmark methodology. Combined with Vijil engine, we can much more quickly get an accurate estimate all kinds of metrics one might want to evaluate.
Regression Discontinuity at Instacart
Published:
Relinking the Instacart Blog post about some of the work I helped push through (all credit to the blog goes to the original authors)
portfolio
publications
Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets
Published in ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023
The prices of flights and hotels in an competitive online marketplace (Kayak) is influenced by browsing history and can be decomposed to differnetiation done by the seller as well as non-seller based differentiation.
Recommended citation: Karan, A., Balepur, N., & Sundaram, H. (2023, June). Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 717-735).
Download Paper | Download Slides
Designing Fair Systems for Consumers to Exploit Personalized Pricing
Published in arXiv, 2024
This paper examines how groups can exploit high dispersion personalized pricing via a trading based system to improve outcomes
Recommended citation: Karan, A., Balepur, N., & Sundaram, H. (2024). Designing Fair Systems for Consumers to Exploit Personalized Pricing. arXiv preprint arXiv:2409.02777
Download Paper
Collective Action against Data-dependent Systems by Multiple Collectives
Published in , 2024
Forthcoming! Building a framework for understanding algorithmic collective action with multiple collectives
talks
Your Browsing History may Cost You.
Published:
Your Browsing History May Cost You
Published:
An expansion of the FAccT Talk intended for the Econ/Data Science team
teaching
CS11 C++
Computer Language Shop (CS11 C++), California Institute of Technology (Caltech), 2015
Introductory lab to C++. Graded and held office hours.
CS144
Networks: Structure & Economics, California Institute of Technology (Caltech), 2016
Networks and Economics. Ran certain projects, held office hours, and graded.
CS50
Introduction to Computer Science, Harvard University, 2018
CS51
Abstraction and Design in Computer Science, Harvard University, 2019
A second course in Computer Science focused on building a better understanding of abstraction and design. Course taught in Ocaml to emphaize the notion of abstraction and clean design. Led a recitation section, graded homework, and held office hours.
CS136
Economics and Computation, Harvard University, 2019
An introduction to EconCS including related algorithmic game theory. Held recitation sections and graded homework.
CS207
Systems Development for Computational Science, Harvard University, 2019
CS175
Graphics, Harvard University, 2020
CS361 University of Illinois
Probability and Statics for Computer Science, University of Illinois, 2020
TAing every semester from Fall 2020 - Present.