Timezone: »
Panel Discussion
Jacob Gardner · Marta Blangiardo · Viacheslav Borovitskiy · Jasper Snoek · Paula Moraga · Carolina Osorio
Fri Dec 02 03:15 PM -- 03:55 PM (PST) @
Author Information
Jacob Gardner (University of Pennsylvania)
Marta Blangiardo (Imperial College)
Viacheslav Borovitskiy (ETH Zürich)
Jasper Snoek (Google Research, Brain team)
Jasper Snoek is a research scientist at Google Brain. His research has touched a variety of topics at the intersection of Bayesian methods and deep learning. He completed his PhD in machine learning at the University of Toronto. He subsequently held postdoctoral fellowships at the University of Toronto, under Geoffrey Hinton and Ruslan Salakhutdinov, and at the Harvard Center for Research on Computation and Society, under Ryan Adams. Jasper co-founded a Bayesian optimization focused startup, Whetlab, which was acquired by Twitter. He has served as an Area Chair for NeurIPS, ICML, AISTATS and ICLR, and organized a variety of workshops at ICML and NeurIPS.
Paula Moraga (King Abdullah University of Science and Technology (KAUST))
Carolina Osorio (HEC Montreal / Google Research)
More from the Same Authors
-
2022 : Efficient Variational Gaussian Processes Initialization via Kernel-based Least Squares Fitting »
Xinran Zhu · David Bindel · Jacob Gardner -
2022 : Invited Talk: Carolina Osorio »
Carolina Osorio -
2022 : Invited Talk: Paula Moraga »
Paula Moraga -
2022 : Invited Talk: Jasper Snoek »
Jasper Snoek -
2022 : Invited Talk: Viacheslav Borovitskiy »
Viacheslav Borovitskiy -
2022 : Invited Talk: Marta Blangiardo »
Marta Blangiardo -
2021 Poster: Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels »
Michael Hutchinson · Alexander Terenin · Viacheslav Borovitskiy · So Takao · Yee Teh · Marc Deisenroth -
2020 Poster: Matérn Gaussian Processes on Riemannian Manifolds »
Viacheslav Borovitskiy · Alexander Terenin · Peter Mostowsky · Marc Deisenroth -
2020 Poster: Hyperparameter Ensembles for Robustness and Uncertainty Quantification »
Florian Wenzel · Jasper Snoek · Dustin Tran · Rodolphe Jenatton -
2020 Tutorial: (Track2) Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning Q&A »
Dustin Tran · Balaji Lakshminarayanan · Jasper Snoek -
2020 Poster: A Spectral Energy Distance for Parallel Speech Synthesis »
Alexey Gritsenko · Tim Salimans · Rianne van den Berg · Jasper Snoek · Nal Kalchbrenner -
2020 Session: Orals & Spotlights Track 19: Probabilistic/Causality »
Julie Josse · Jasper Snoek -
2020 Tutorial: (Track2) Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning »
Dustin Tran · Balaji Lakshminarayanan · Jasper Snoek -
2019 Poster: Likelihood Ratios for Out-of-Distribution Detection »
Jie Ren · Peter Liu · Emily Fertig · Jasper Snoek · Ryan Poplin · Mark Depristo · Joshua Dillon · Balaji Lakshminarayanan -
2019 Poster: DppNet: Approximating Determinantal Point Processes with Deep Networks »
Zelda Mariet · Yaniv Ovadia · Jasper Snoek