Sujai Hiremath

I am an ORIE PhD student at Cornell Tech, NYC. I am motivated by a curiosity of the world. I work on developing robust and sample efficient causal discovery algorithms, with applications in causal inference and reinforcement learning. I am currently exploring the intersection of causality and LLMs as a research intern at Amazon Science in Tübingen, Germany. I am advised by Kyra Gan.

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Drafts

From Guess2Graph: When and How Can Unreliable Experts Safely Boost Causal Discovery in Finite Samples?
Sujai Hiremath, Dominik Janzing, Philipp Faller, Patrick Blöbaum, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Kyra Gan.

Publications

When Additive Noise Meets Unobserved Mediators: Bivariate Denoising Diffusion for Causal Discovery.
Dominik Meier, Sujai Hiremath, Promit Ghosal, Kyra Gan.

LoSAM: Local Search in Additive Noise Models with Mixed Mechanisms and General Noise for Global Causal Discovery.
Sujai Hiremath, Promit Ghosal, Kyra Gan.

Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models.
Sujai Hiremath, Jacqueline Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan.