RAVAS is an online algorithm that performs adaptive sparse regression by maintaining low-dimensional sufficient statistics and dynamically incorporating newly observed features as data streams in.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
math.ST 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Proves oracle Bernstein-von Mises theorem for fractional posterior under supportwise likelihood assumptions in sparse GLMs with spike-and-slab priors.
citing papers explorer
-
Online Sparse Regression with Expanding Observables
RAVAS is an online algorithm that performs adaptive sparse regression by maintaining low-dimensional sufficient statistics and dynamically incorporating newly observed features as data streams in.
-
Bernstein-von Mises Theorem for Sparse Generalized Linear Model
Proves oracle Bernstein-von Mises theorem for fractional posterior under supportwise likelihood assumptions in sparse GLMs with spike-and-slab priors.