4 papers
Estimating Misreporting in the Presence of Genuine Modification: A Causal Perspective
Dylan Zapzalka, Trenton Chang, Lindsay Warrenburg +5
In settings where ML models are used to inform the allocation of resources, agents affected by the allocation decisions might have an incentive to strategically change their featur…
A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs
Trenton Chang, Tobias Schnabel, Adith Swaminathan +1
Despite advances in large language models (LLMs) on reasoning and instruction-following tasks, it is unclear whether they can reliably produce outputs aligned with a variety of use…
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-adherence
Winston Chen, Trenton Chang, Jenna Wiens
Estimates of heterogeneous treatment assignment effects can inform treatment decisions. Under the presence of non-adherence (e.g., patients do not adhere to their assigned treatmen…
Who's Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
Trenton Chang, Lindsay Warrenburg, Sae-Hwan Park +3
In many settings, machine learning models may be used to inform decisions that impact individuals or entities who interact with the model. Such entities, or agents, may game model…