Andrew Gelman
9 papers · 2014–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (10)
π
Cross-Pollinator
(15)
πΊοΈ
Taxonomy Completionist
(13)
β
The Questioner
π
Trend Setter
Conferences
JMLR (6)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
variational inference
(5)
bayesian inference
(3)
hierarchical model
(2)
automatic differentiation
(2)
importance sampling
(2)
posterior approximation
(2)
probabilistic programming
(2)
markov chain monte carlo
(2)
gradient-based sampling
(1)
distributed computation
(1)
latent variable
(1)
monte carlo method
(1)
multimodal posterior
(1)
importance weight
(1)
pareto distribution
(1)
convergence diagnostic
(1)
goodness of fit
(1)
no-u-turn sampler
(1)
automatic differentiation variational inference
(1)
bayesian stacking
(1)
Papers
Pareto Smoothed Importance Sampling
JMLR 2024
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
ICLR 2023
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors
JMLR 2022
Pathfinder: Parallel quasi-Newton variational inference
JMLR 2022
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data
JMLR 2020
Yes, but Did It Work?: Evaluating Variational Inference
ICML 2018
Automatic Differentiation Variational Inference
JMLR 2017
Automatic Variational Inference in Stan
NIPS 2015
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
JMLR 2014