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stat.ML2025
Active Subspaces in Infinite Dimension
Poorbita Kundu, Nathan Wycoff
Active subspace analysis uses the leading eigenspace of the gradient's second moment to conduct supervised dimension reduction. In this article, we extend this methodology to real-…
stat.ML2025
On Thompson Sampling and Bilateral Uncertainty in Additive Bayesian Optimization
Nathan Wycoff
In Bayesian Optimization (BO), additive assumptions can mitigate the twin difficulties of modeling and searching a complex function in high dimension. However, common acquisition f…
stat.ML2019★ 1 cited
Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout
Nathan Wycoff, Prasanna Balaprakash, Fangfang Xia
As neural networks have begun performing increasingly critical tasks for society, ranging from driving cars to identifying candidates for drug development, the value of their abili…