Jasper Snoek

According to our database1, Jasper Snoek authored at least 62 papers between 2006 and 2023.

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Bibliography

2023
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness.
J. Mach. Learn. Res., 2023

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.
CoRR, 2023

Kernel Regression with Infinite-Width Neural Networks on Millions of Examples.
CoRR, 2023

2022
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure.
Trans. Mach. Learn. Res., 2022

Sparse MoEs meet Efficient Ensembles.
Trans. Mach. Learn. Res., 2022

Plex: Towards Reliability using Pretrained Large Model Extensions.
CoRR, 2022

Pre-training helps Bayesian optimization too.
CoRR, 2022

Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Second opinion needed: communicating uncertainty in medical machine learning.
npj Digit. Medicine, 2021

Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures.
Entropy, 2021

Sampling the Variational Posterior with Local Refinement.
Entropy, 2021

Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.
CoRR, 2021

Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning.
CoRR, 2021

Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems.
CoRR, 2021

Combining Ensembles and Data Augmentation Can Harm Your Calibration.
Proceedings of the 9th International Conference on Learning Representations, 2021

Training independent subnetworks for robust prediction.
Proceedings of the 9th International Conference on Learning Representations, 2021

Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit.
Proceedings of the 9th International Conference on Learning Representations, 2021

Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Cold Posteriors and Aleatoric Uncertainty.
CoRR, 2020

Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks.
CoRR, 2020

Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.
CoRR, 2020

Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling.
CoRR, 2020

Hydra: Preserving Ensemble Diversity for Model Distillation.
CoRR, 2020

Hyperparameter Ensembles for Robustness and Uncertainty Quantification.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Spectral Energy Distance for Parallel Speech Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

How Good is the Bayes Posterior in Deep Neural Networks Really?
Proceedings of the 37th International Conference on Machine Learning, 2020

The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks.
Proceedings of the 37th International Conference on Machine Learning, 2020

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Avoiding a Tragedy of the Commons in the Peer Review Process.
CoRR, 2019

Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Likelihood Ratios for Out-of-Distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DppNet: Approximating Determinantal Point Processes with Deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the relationship between Normalising Flows and Variational- and Denoising Autoencoders.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018
Winner's Curse? On Pace, Progress, and Empirical Rigor.
Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling.
Proceedings of the 6th International Conference on Learning Representations, 2018

Stochastic Gradient Langevin dynamics that Exploit Neural Network Structure.
Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Latent Permutations with Gumbel-Sinkhorn Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Unobtrusive Detection of Mild Cognitive Impairment in Older Adults Through Home Monitoring.
IEEE J. Biomed. Health Informatics, 2017

2015
Spectral Representations for Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scalable Bayesian Optimization Using Deep Neural Networks.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach.
Proceedings of the Computing in Cardiology, 2015

2014
Bayesian Optimization and Semiparametric Models with Applications to Assistive Technology.
PhD thesis, 2014

Data Mining in Bone Marrow Transplant Records to Identify Patients With High Odds of Survival.
IEEE J. Biomed. Health Informatics, 2014

Freeze-Thaw Bayesian Optimization.
CoRR, 2014

Bayesian Optimization with Unknown Constraints.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Input Warping for Bayesian Optimization of Non-Stationary Functions.
Proceedings of the 31th International Conference on Machine Learning, 2014

Generalized Linear Models of home activity for automatic detection of mild cognitive impairment in older adults.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy.
Proceedings of the Computing in Cardiology, CinC 2014, 2014

2013
Video analysis for identifying human operation difficulties and faucet usability assessment.
Neurocomputing, 2013

Multi-Task Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Nonparametric guidance of autoencoder representations using label information.
J. Mach. Learn. Res., 2012

On Nonparametric Guidance for Learning Autoencoder Representations.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Practical Bayesian Optimization of Machine Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

An Automated Machine Learning Approach Applied to Robotic Stroke Rehabilitation.
Proceedings of the Artificial Intelligence for Gerontechnology, 2012

2011
From Videos to Places: Geolocating the World's Videos.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Towards Aging-in-Place: Automatic Assessment of Product Usability for Older Adults with Dementia.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Towards a single sensor passive solution for automated fall detection.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Automatic segmentation of video to aid the study of faucet usability for older adults.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

Water Flow Detection in a Handwashing Task.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

2009
Automated detection of unusual events on stairs.
Image Vis. Comput., 2009

2006
Automated Detection of Unusual Events on Stairs.
Proceedings of the Third Canadian Conference on Computer and Robot Vision (CRV 2006), 2006


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