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stat.ML2026
The Impact of Likelihood Tempering on the Limiting Predictive Moments of Variational Bayesian Linear Neural Networks
Ian Zhang, Thibault Randrianarisoa
In wide Bayesian neural networks, Gaussian mean-field variational inference is prone to "prior dominance": the Kullback-Leibler (KL) regularization term of the ELBO outweighs the e…
cs.DS2026
Hallucination Rates in Language Generation
Debmalya Panigrahi, Fan Wei, Ian Zhang
Language generation in the limit is an elegant model introduced by Kleinberg and Mullainathan [KM24] to formally study language generation by an algorithm that learns solely based…
cs.DS2026
Characterizing the Effect of Noise in Language Generation in the Limit
Aaron Li, Ian Zhang
Kleinberg and Mullainathan recently proposed a formal framework for studying the phenomenon of language generation, called language generation in the limit. In this model, an adver…