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cs.LG2025★ 2 cited
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
Rushil Gupta, Jason Hartford, Bang Liu
Large language models (LLMs) have recently been proposed as general-purpose agents for experimental design, with claims that they can perform in-context experimental design. We eva…
cs.LG2024
Tight Lower Bounds and Improved Convergence in Performative Prediction
Pedram Khorsandi, Rushil Gupta, Mehrnaz Mofakhami +2
Performative prediction is a framework accounting for the shift in the data distribution induced by the prediction of a model deployed in the real world. Ensuring rapid convergence…