Wittawat Jitkrittum

Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages

2015 · arXiv (Cornell University)

We propose an efficient nonparametric strategy for learning a message operator in expectation propagation (EP), which takes as input the set of incoming messages to a factor node, and produces an outgoing message as output. …

It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models

2023 · arXiv (Cornell University)

Classical wisdom in machine learning holds that the generalization error can be decomposed into bias and variance, and these two terms exhibit a \emph{trade-off}. However, in this paper, we show that for an ensemble of …