Machine Learning

Toward a Taxonomy of Trust for Probabilistic Machine Learning
Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. We need evidence …
Cite DOI arXiv
Next Waves in Veridical Network Embedding
Embedding nodes of a large network into a metric (e.g., Euclidean) space has become an area of active research in statistical machine …
Cite DOI arxiv
Stabilized Sparse Online Learning for Sparse Data
Stochastic gradient descent (SGD) is commonly used for optimization in large-scale machine learning problems. Langford et al. (2009) …
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