Fetching the paper…
Reading the bibliography…
$\alpha$-posteriors and their variational approximations distort standard posterior inference by downweighting the likelihood and introducing variational approximation errors.
Topological Spaces: including a treatment of multi-valued functions, vector spaces, and convexity
Claude Berge · 1963
Earlier work this paper cites.
The behavior of maximum likelihood estimates under nonstandard conditions
Peter J Huber · 1967
Earlier work this paper cites.
Maximum likelihood estimation of misspecified models
Halbert White · 1982
Earlier work this paper cites.
Aggregating strategies
Volodimir G Vovk · 1990
Earlier work this paper cites.
Minimum complexity density estimation
Andrew R Barron and Thomas M Cover · 1991
Earlier work this paper cites.
Asymptotic normality of the posterior in relative entropy
Bertrand S. Clarke · 1999
Earlier work this paper cites.
Asymptotic statistics , volume 3
Aad W Van der Vaart · 2000
Earlier work this paper cites.
On measuring sensitivity to parametric model misspecification
Paul Gustafson · 2001
Earlier work this paper cites.
Robust control and model uncertainty
Lars Peter Hansen and Thomas J Sargent · 2001
Earlier work this paper cites.
On bayesian consistency
Stephen Walker and Nils Lid Hjort · 2001
Earlier work this paper cites.
Pac-bayesian stochastic model selection
David A McAllester · 2003
Earlier work this paper cites.
Ambiguity aversion, robustness, and the variational representation of preferences
Fabio Maccheroni, Massimo Marinacci, and Aldo Rustichini · 2006
Earlier work this paper cites.
From ε \varepsilon -entropy to kl-entropy: Analysis of minimum information complexity density estimation
Tong Zhang et al · 2006
Earlier work this paper cites.
Asymptotic theory of statistics and probability
Anirban DasGupta · 2008
Earlier work this paper cites.
Safe learning: bridging the gap between bayes, mdl and statistical learning theory via empirical convexity
Peter Grünwald · 2011
Cited alongside, same era.
Axiomatic foundations of multiplier preferences
Tomasz Strzalecki · 2011
Cited alongside, same era.
The safe Bayesian
Peter Grünwald · 2012
Cited alongside, same era.
Matrix Analysis
Roger A Horn and Charles R Johnson · 2012
Cited alongside, same era.
The Bernstein-von-Mises theorem under misspecification
Bas J.K Kleijn and Aad .W. Van der Vaart · 2012
Cited alongside, same era.
Risk of Bayesian inference in misspecified models, and the sandwich covariance matrix
Ulrich K Müller · 2013
Cited alongside, same era.
Understanding disentangling in β \beta -VAE
Christopher P Burgess, Irina Higgins, Arka Pal, Loic Matthey, Nick Watters, Guillaume Desjardins, and Alexander Lerchner · 2018
Later among the works it cites.
Improving explorability in variational inference with annealed variational objectives
Chin-Wei Huang, Shawn Tan, Alexandre Lacoste, and Aaron Courville · 2018
Later among the works it cites.
Variational bayes inference in high-dimensional time-varying parameter models
Gary Koop and Dimitris Korobilis · 2018
Later among the works it cites.
Frequentist consistency of variational Bayes
Yixin Wang and David M. Blei · 2018
Later among the works it cites.
Bayesian fractional posteriors
Anirban Bhattacharya, Debdeep Pati, and Yun Yang · 2019
Later among the works it cites.
Generalized variational inference: Three arguments for deriving new posteriors
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A Bernstein–von Mises theorem for smooth functionals in semiparametric models
Ismaël Castillo and Judith Rousseau · 2015
Cited alongside, same era.
Maximum likelihood estimation in possibly misspecified dynamic models with time inhomogeneous markov regimes
Demian Pouzo, Zacharias Psaradakis, and Martin Sola · 2016
Cited alongside, same era.
Variational inference: A review for statisticians
David M Blei, Alp Kucukelbir, and Jon D McAuliffe · 2017
Cited alongside, same era.
Fundamentals of nonparametric Bayesian inference
Subhashis Ghosal and Aad Van der Vaart · 2017
Cited alongside, same era.
Inconsistency of bayesian inference for misspecified linear models, and a proposal for repairing it
Peter Grünwald and Thijs Van Ommen · 2017
Cited alongside, same era.
β \beta -VAE: Learning basic visual concepts with a constrained variational framework
Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2017
Cited alongside, same era.
J. Knoblauch, J. Jewson, and T. Damoulas · 2019
Later among the works it cites.
Improved marginal likelihood estimation via power posteriors and importance sampling
Yong Li, Nianling Wang, and Jun Yu · 2019
Later among the works it cites.
Approximate variational estimation for a model of network formation
Angelo Mele and Lingjiong Zhu · 2019
Later among the works it cites.
Robust Bayesian inference via coarsening
Jeffrey W Miller and David B Dunson · 2019
Later among the works it cites.
Concentration of tempered posteriors and of their variational approximations
Pierre Alquier and James Ridgway · 2020
Later among the works it cites.
Asymptotic consistency of α \alpha -rényi-approximate posteriors
Prateek Jaiswal, Vinayak Rao, and Harsha Honnappa · 2020
Later among the works it cites.
α \alpha -variational inference with statistical guarantees
Yun Yang, Debdeep Pati, and Anirban Bhattacharya · 2020
Later among the works it cites.
Teams: Heterogeneity, sorting, and complementarity
Stéphane Bonhomme · 2021
Closest in time.