Learning Hyperparameters via a Data-Emphasized Variational Objective

3 February 2025

Papers citing "Learning Hyperparameters via a Data-Emphasized Variational Objective"

29 / 29 papers shown

Title
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported Ethan Harvey Mikhail Petrov Michael C. Hughes BDL 18 2 0 24 May 2024
The fine print on tempered posteriors Konstantinos Pitas Julyan Arbel 58 1 0 11 Sep 2023
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv Micah Goldblum Hossein Souri Sanyam Kapoor Chen Zhu Yann LeCun A. Wilson UQCV BDL 88 43 0 20 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 139 48 0 01 May 2022
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor Wesley J. Maddox Pavel Izmailov A. Wilson BDL UD 47 50 0 30 Mar 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 91 5,102 0 10 Jan 2022
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning Alexander Immer Matthias Bauer Vincent Fortuin Gunnar Rätsch Mohammad Emtiyaz Khan BDL UQCV 100 107 0 11 Apr 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 425 40,217 0 22 Oct 2020
A statistical theory of cold posteriors in deep neural networks Laurence Aitchison UQCV BDL 33 69 0 13 Aug 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 119 444 0 17 Jun 2020
Monte Carlo Gradient Estimation in Machine Learning S. Mohamed Mihaela Rosca Michael Figurnov A. Mnih 65 404 0 25 Jun 2019
Practical Deep Learning with Bayesian Principles Kazuki Osawa S. Swaroop Anirudh Jain Runa Eschenhagen Richard Turner Rio Yokota Mohammad Emtiyaz Khan BDL UQCV 80 243 0 06 Jun 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 77 804 0 07 Feb 2019
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 100 773 0 13 Nov 2018
Consistency of ELBO maximization for model selection Badr-Eddine Chérief-Abdellatif 60 19 0 28 Oct 2018
Variance reduction properties of the reparameterization trick Ming Xu M. Quiroz Robert Kohn Scott A. Sisson AAML 62 66 0 27 Sep 2018
Optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization D. Kobak Jonathan Lomond Benoit Sanchez 46 89 0 28 May 2018
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification Dimitrios Milios Raffaello Camoriano Pietro Michiardi Lorenzo Rosasco Maurizio Filippone UQCV 48 75 0 28 May 2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks Xuhong Li Yves Grandvalet Franck Davoine SSL 69 349 0 05 Feb 2018
Noisy Natural Gradient as Variational Inference Guodong Zhang Shengyang Sun David Duvenaud Roger C. Grosse ODL 62 211 0 06 Dec 2017
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 239 8,030 0 13 Aug 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 191 4,748 0 04 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.5K 192,638 0 10 Dec 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 221 1,240 0 01 Sep 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 128 1,878 0 20 May 2015
Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It Peter Grünwald T. V. Ommen 71 265 0 11 Dec 2014
Variational Tempering Stephan Mandt James McInerney Farhan Abrol Rajesh Ranganath David M. Blei BDL 48 55 0 07 Nov 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 132 4,937 0 23 Mar 2014
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 80 1,178 0 02 Nov 2012