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cs.LG2026
Elicitation without Backpropagation: Steering Model Behavior by Optimizing the Latent Posterior
Garrett Baker, Vinayak Pathak, Daniel Murfet +1
In the \emph{latent posterior model} of transformer behavior, the next-token distribution arises from a posterior over latent predictive models conditioned on the context, mixed to…
cs.LG2026
What does a Bayes-filtered transformer believe? A predictive Monte Carlo approach
Afiq Abdillah Effiezal Aswadi, Haotong Ma, Susan Wei
A Bayes-filtered transformer (BFT) is a transformer trained on sequences that are generated in two steps: first a latent task is drawn from a prior, then observations are drawn con…
cs.LG2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Aoqi Zuo, Yiqing Li, Susan Wei +1
Fair machine learning aims to prevent discrimination against individuals or sub-populations based on sensitive attributes such as gender and race. In recent years, causal inference…