AABI Submissions

Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference
Erik Daxberger, Eric Nalisnick, James Urquhart Allingham, Javier Antoran, José Miguel Hernández-Lobato
- 23 Nov 2020 (modified: 15 Jan 2021)
- AABI2020
- Readers: Everyone
Conjugate Energy-Based Models
Hao Wu, Babak Esmaeili, Michael L Wick, Jean-Baptiste Tristan, Jan-Willem van de Meent
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Gradient Regularisation as Approximate Variational Inference
Ali Unlu, Laurence Aitchison
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Adaptive Strategy for Resetting a Non-stationary Markov Chain during Learning via Joint Stochastic Approximation
Hyunsu Kim, Juho Lee, Hongseok Yang
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Exact Langevin Dynamics with Stochastic Gradients
Adrià Garriga-Alonso, Vincent Fortuin
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Correlated Weights in Infinite Limits of Deep Convolutional Neural Networks
Adrià Garriga-Alonso, Mark van der Wilk
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Preconditioned training of normalizing flows for variational inference in inverse problems
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp Witte, Felix Herrmann
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Roundoff Error in Metropolis-Hastings Accept-Reject Steps
Matthew Douglas Hoffman
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
VIB is Half Bayes
Alexander A Alemi, Warren Richard Morningstar, Ben Poole, Ian Fischer, Joshua V. Dillon
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Learning Discrete State Abstractions With Deep Variational Inference
Ondrej Biza, Robert Platt, Jan-Willem van de Meent, Lawson L. S. Wong
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Nested Variational Inference
Heiko Zimmermann, Hao Wu, Babak Esmaeili, Sam Stites, Jan-Willem van de Meent
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Optimal Thinning of MCMC Output
Marina Riabiz, Wilson Ye Chen, Jon Cockayne, Pawel Swietach, Steven Niederer, Chris Oates
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes
William Tebbutt, Arno Solin, Richard E Turner
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Variational Refinement for Importance SamplingUsing the Forward Kullback-Leibler Divergence
Ghassen Jerfel, Serena Lutong Wang, Clara Fannjiang, Katherine A Heller, Yian Ma, Michael Jordan
- 23 Nov 2020 (modified: 11 Jan 2021)
- AABI2020
- Readers: Everyone
Transforming Worlds: Automated Involutive MCMC for Open-Universe Probabilistic Models
George Matheos, Alexander K. Lew, Matin Ghavamizadeh, Stuart Russell, Marco Cusumano-Towner, Vikash Mansinghka
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone
Marginal Likelihood Gradient for Bayesian Neural Networks
Marcin B. Tomczak, Richard E Turner
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone
Generative Video Compression as Hierarchical Variational Inference
Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone
Evidence Estimation by Kullback-Leibler Integration for Flow-Based Methods
Nikolai Zaki, Théo Galy-Fajou, Manfred Opper
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone
Annealed Stein Variational Gradient Descent
Francesco D'Angelo, Vincent Fortuin
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone
Gaussian Process Latent Variable Flows for Massively Missing Data
Vidhi Lalchand, Aditya Ravuri, Neil D Lawrence
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone
Generalized Posteriors in Approximate Bayesian Computation
Sebastian M Schmon, Patrick W Cannon, Jeremias Knoblauch
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone
Neural Networks as Inter-Domain Inducing Points
Shengyang Sun, Jiaxin Shi, Roger Baker Grosse
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone
Neural Linear Models with Functional Gaussian Process Priors
Joe Watson, Jihao Andreas Lin, Pascal Klink, Jan Peters
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone
Why Cold Posteriors? On the Suboptimal Generalization of Optimal Bayes Estimates
Chen Zeno, Itay Golan, Ari Pakman, Daniel Soudry
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone
The Gaussian Neural Process
Wessel Bruinsma, James Requeima, Andrew Y. K. Foong, Jonathan Gordon, Richard E Turner
- 23 Nov 2020 (modified: 10 Jan 2021)
- AABI2020
- Readers: Everyone