Ryan Giordano
4 papers · 2018–2025 · 2 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (5)
🌉
Interdisciplinary Bridge
❓
The Questioner
Conferences
JMLR (3)
AISTATS (1)
Top co-authors
Research topics
Keywords
bayesian inference
(3)
error bound
(2)
posterior inference
(1)
posterior covariance
(1)
probabilistic programming
(1)
posterior approximation
(1)
second-order optimization
(1)
bayesian posterior
(1)
linear approximation
(1)
uncertainty estimation
(1)
variational baye
(1)
posterior mean
(1)
finite sample bound
(1)
divergence bound
(1)
bayesian central limit theorem
(1)
black box variational inference
(1)
model agnostic
(1)
statistical learning
(1)
infinitesimal jackknife
(1)
laplace approximation
(1)
Papers
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences
JMLR 2025
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box
JMLR 2024
A Swiss Army Infinitesimal Jackknife
AISTATS 2019
Covariances, Robustness, and Variational Bayes
JMLR 2018