Willie Neiswanger
3 papers in the PaperMetrix corpus
Papers by this author
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Uncertainty quantification using martingales for misspecified Gaussian processes
2020 · arXiv (Cornell University)
We address uncertainty quantification for Gaussian processes (GPs) under misspecified priors, with an eye towards Bayesian Optimization (BO). GPs are widely used in BO because they easily enable exploration based on posterior uncertainty bands. However, …
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Synthetic Benchmarks for Scientific Research in Explainable Machine Learning
2021 · arXiv (Cornell University)
As machine learning models grow more complex and their applications become more high-stakes, tools for explaining model predictions have become increasingly important. This has spurred a flurry of research in model explainability and has given …
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Resa: Transparent Reasoning Models via SAEs
2025 · arXiv (Cornell University)
How cost-effectively can we elicit strong reasoning in language models by leveraging their underlying representations? We answer this question with Resa, a family of 1.5B reasoning models trained via a novel and efficient sparse autoencoder …