Jasper Snoek

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Semiparametric Latent Variable Models for Guided Representation

Jasper Snoek, Ryan P. Adams, Hugo Larochelle, 2011 .

Generalized Linear Models of home activity for automatic detection of mild cognitive impairment in older adults

Alex Mihailidis, Jasper Snoek, Ahmad Akl, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Combining Ensembles and Data Augmentation can Harm your Calibration pdf

Jasper Snoek, Ghassen Jerfel, Dustin Tran, 2020, ArXiv.

Automated detection of falls in the home: Current challenges and future directions

Jasper Snoek, Alex Mihailidis, Babak Taati, 2010 .

Winner's Curse? On Pace, Progress, and Empirical Rigor

D. Sculley, Jasper Snoek, Ali Rahimi, 2018, ICLR.

On Nonparametric Guidance for Learning Autoencoder Representations

Jasper Snoek, Ryan P. Adams, Hugo Larochelle, 2011, AISTATS.

Automatic segmentation of video to aid the study of faucet usability for older adults

Alex Mihailidis, Jasper Snoek, Babak Taati, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks pdf

Jasper Snoek, Balaji Lakshminarayanan, Jeremiah Liu, 2020, ArXiv.

Practical Bayesian Optimization of Machine Learning Algorithms

Jasper Snoek, Ryan P. Adams, Hugo Larochelle, 2012, NIPS.

Stochastic Gradient Langevin dynamics that Exploit Neural Network Structure

Jasper Snoek, Roger B. Grosse, David Duvenaud, 2018, ICLR.

Likelihood Ratios for Out-of-Distribution Detection

Jasper Snoek, Jie Ren, Emily Fertig, 2019, NeurIPS.

Bayesian Optimization with Unknown Constraints pdf

Jasper Snoek, Ryan P. Adams, Michael A. Gelbart, 2014, UAI.

Nonparametric guidance of autoencoder representations using label information

Jasper Snoek, Ryan P. Adams, Hugo Larochelle, 2012, J. Mach. Learn. Res..

An Automated Machine Learning Approach Applied to Robotic Stroke Rehabilitation

Alex Mihailidis, Jasper Snoek, Babak Taati, 2012, AAAI Fall Symposium: Artificial Intelligence for Gerontechnology.

A Spectral Energy Distance for Parallel Speech Synthesis pdf

Jasper Snoek, Tim Salimans, Nal Kalchbrenner, 2020, NeurIPS.

On the Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks

Jasper Snoek, Tim Salimans, Stephan Mandt, 2019 .

Video analysis for identifying human operation difficulties and faucet usability assessment

Alex Mihailidis, Jasper Snoek, Babak Taati, 2013, Neurocomputing.

Automated Detection of Unusual Events on Stairs

Jesse Hoey, Jasper Snoek, Richard S. Zemel, 2006, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06).

Avoiding a Tragedy of the Commons in the Peer Review Process pdf

D. Sculley, Jasper Snoek, Alexander B. Wiltschko, 2018, ArXiv.

Patient prognosis from vital sign time series: Combining convolutional neural networks with a dynamical systems approach

Shamim Nemati, Jasper Snoek, Li-Wei H. Lehman, 2015, 2015 Computing in Cardiology Conference (CinC).

Scalable Bayesian Optimization Using Deep Neural Networks

Prabhat, Jasper Snoek, Ryan P. Adams, 2015, ICML.

Towards a single sensor passive solution for automated fall detection

Alex Mihailidis, Jasper Snoek, Babak Taati, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

DPPNet: Approximating Determinantal Point Processes with Deep Networks

Jasper Snoek, Yaniv Ovadia, Zelda Mariet, 2019, NeurIPS.

Spectral Representations for Convolutional Neural Networks

Jasper Snoek, Ryan P. Adams, Oren Rippel, 2015, NIPS.

Unobtrusive Detection of Mild Cognitive Impairment in Older Adults Through Home Monitoring

Alex Mihailidis, Jasper Snoek, Ahmad Akl, 2017, IEEE Journal of Biomedical and Health Informatics.

Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit pdf

Jaehoon Lee, Jasper Snoek, Jeffrey Pennington, 2020, ICLR.

Refining the variational posterior through iterative optimization

Jasper Snoek, Dustin Tran, José Miguel Hernández-Lobato, 2019 .

Data Mining in Bone Marrow Transplant Records to Identify Patients With High Odds of Survival

Jasper Snoek, Babak Taati, Dionne M. Aleman, 2014, IEEE Journal of Biomedical and Health Informatics.

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Sebastian Nowozin, Jasper Snoek, Jie Ren, 2019, NeurIPS.

Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling pdf

Jasper Snoek, Ehsan Elhamifar, Zelda Mariet, 2020, ArXiv.

Towards Aging-in-Place: Automatic Assessment of Product Usability for Older Adults with Dementia

Alex Mihailidis, Jasper Snoek, Babak Taati, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

Cold Posteriors and Aleatoric Uncertainty pdf

Jasper Snoek, Ben Adlam, Samuel L. Smith, 2020, ArXiv.

Multi-Task Bayesian Optimization

Jasper Snoek, Ryan P. Adams, Kevin Swersky, 2013, NIPS.

From Videos to Places: Geolocating the World's Videos

Jasper Snoek, Luciano Sbaiz, Hrishikesh B. Aradhye, 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.

On the relationship between Normalising Flows and Variational- and Denoising Autoencoders

Jasper Snoek, Tim Salimans, Alexey A. Gritsenko, 2019, DGS@ICLR.

Bayesian Optimization and Semiparametric Models with Applications to Assistive Technology

Jasper Snoek, Jasper Snoek, 2014 .

Global optimization approaches for parameter tuning in biomedical signal processing: A focus on multi-scale entropy

Shamim Nemati, Jasper Snoek, Li-Wei H. Lehman, 2014, Computing in Cardiology 2014.

Freeze-Thaw Bayesian Optimization pdf

Jasper Snoek, Ryan P. Adams, Kevin Swersky, 2014, ArXiv.

Water Flow Detection in a Handwashing Task

Alex Mihailidis, Jasper Snoek, Babak Taati, 2010, 2010 Canadian Conference on Computer and Robot Vision.

Automated Detection of Unusual Events on Stairs

Jesse Hoey, Alex Mihailidis, Jasper Snoek, 2006, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06).

Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling pdf

Jasper Snoek, Carlos Riquelme, George Tucker, 2018, ICLR.

Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

Jasper Snoek, Carlos Riquelme, George Tucker, 2018, ICLR.

Lower body motion analysis to detect falls and near falls on stairs

Jasper Snoek, Alex Mihailidis, Gemma S. Parra-Dominguez, 2015 .

Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures pdf

Jasper Snoek, Benjamin Kompa, Andrew Beam, 2020, ArXiv.

Input Warping for Bayesian Optimization of Non-Stationary Functions

Jasper Snoek, Ryan P. Adams, Richard S. Zemel, 2014, ICML.

Hydra: Preserving Ensemble Diversity for Model Distillation pdf

Sebastian Nowozin, Stephan Mandt, Jasper Snoek, 2020, ArXiv.

How Good is the Bayes Posterior in Deep Neural Networks Really?

Sebastian Nowozin, Stephan Mandt, Jasper Snoek, 2020, ICML.

Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift pdf

Alexander D'Amour, D. Sculley, Jasper Snoek, 2020, ArXiv.

The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks pdf

Jasper Snoek, Tim Salimans, Stephan Mandt, 2020, ICML.

Learning Latent Permutations with Gumbel-Sinkhorn Networks pdf

Scott W. Linderman, Jasper Snoek, David Belanger, 2018, ICLR.

A Determinantal Point Process Latent Variable Model for Inhibition in Neural Spiking Data

Jasper Snoek, Ryan P. Adams, Richard S. Zemel, 2013, NIPS.

Training independent subnetworks for robust prediction pdf

Jasper Snoek, Dustin Tran, Andrew M. Dai, 2020, ArXiv.

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors pdf

Jasper Snoek, Ghassen Jerfel, Dustin Tran, 2020, ICML.

Hyperparameter Ensembles for Robustness and Uncertainty Quantification pdf

Jasper Snoek, Dustin Tran, Florian Wenzel, 2020, NeurIPS.

Sparse MoEs meet Efficient Ensembles pdf

Jasper Snoek, Dustin Tran, Joan Puigcerver, 2021, ArXiv.

Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures

Jasper Snoek, Benjamin Kompa, Andrew Beam, 2020, Entropy.

Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems pdf

Jasper Snoek, Marin Soljavci'c, Charlotte Loh, 2021, ArXiv.

Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning pdf

D. Sculley, Jasper Snoek, Jeremy Nixon, 2021, ArXiv.

Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers pdf

Jasper Snoek, George E. Dahl, Kevin Swersky, 2021, ArXiv.

Second opinion needed: communicating uncertainty in medical machine learning

Jasper Snoek, Benjamin Kompa, Andrew L. Beam, 2021, npj Digital Medicine.

Training independent subnetworks for robust prediction pdf

Jasper Snoek, Dustin Tran, Andrew M. Dai, 2020, ICLR.

Combining Ensembles and Data Augmentation can Harm your Calibration pdf

Jasper Snoek, Ghassen Jerfel, Dustin Tran, 2020, ICLR.

Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach pdf

Jasper Snoek, George E. Dahl, Rodolphe Jenatton, 2021, ArXiv.

Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling

Jasper Snoek, Ehsan Elhamifar, Jennifer Dy, 2021, AISTATS.

Sinkhorn Networks: Using Optimal Transport Techniques to Learn Permutations

Jasper Snoek, David Belanger, Gonzalo Mena, 2017 .

A Spectral Energy Distance for Parallel Speech Synthesis pdf

Jasper Snoek, Tim Salimans, Nal Kalchbrenner, 2020, NeurIPS.

Assessing the usability of water taps by older adults with dementia

Jennifer Boger, Jasper Snoek, Babak Taati, 2012, Alzheimer's & Dementia.

Hydra: Preserving Ensemble Diversity for Model Distillation pdf

Sebastian Nowozin, Jasper Snoek, Tim Salimans, 2020, ArXiv.