Tue 4:55 a.m. - 5:00 a.m.
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Welcome remarks
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Talk
)
>
SlidesLive Video
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Diana Cai
馃敆
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Tue 5:00 a.m. - 5:30 a.m.
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How to train your model when it's wrong: Bayesian nonparametric learning in M-open
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Invited Talk
)
>
SlidesLive Video
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Chris C Holmes
馃敆
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Tue 5:30 a.m. - 5:35 a.m.
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Invite Talk 1 Q&A
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Q&A
)
>
link
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Chris C Holmes
馃敆
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Tue 5:35 a.m. - 6:05 a.m.
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BayesCG: A probabilistic numeric linear solver
(
Invited Talk
)
>
SlidesLive Video
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Ilse Ipsen
馃敆
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Tue 6:05 a.m. - 6:10 a.m.
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Invited Talk 2 Q&A
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Q&A
)
>
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Ilse Ipsen
馃敆
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Tue 6:10 a.m. - 6:45 a.m.
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Individual discussions in Gathertown
(
Gathertown discussion
)
>
link
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馃敆
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Tue 6:45 a.m. - 7:00 a.m.
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Bayesian Calibration of imperfect computer models using Physics-informed priors
(
Contributed Talk
)
>
SlidesLive Video
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Michail Spitieris
馃敆
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Tue 7:00 a.m. - 7:15 a.m.
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Invariant Priors for Bayesian Quadrature
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Contributed Talk
)
>
SlidesLive Video
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Masha Naslidnyk
馃敆
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Tue 7:15 a.m. - 8:30 a.m.
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Poster Session I in Gathertown
(
Poster session
)
>
link
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馃敆
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Tue 8:30 a.m. - 9:35 a.m.
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Research panel
(
Discussion panel
)
>
SlidesLive Video
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David Dunson 路 Marta Kwiatkowska 路 Steven MacEachern 路 Jeffrey Miller 路 Briana Joy Stephenson 路 Anirban Bhattacharya
馃敆
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Tue 9:35 a.m. - 10:30 a.m.
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Individual discussions in Gathertown
(
Gathertown discussion
)
>
link
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馃敆
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Tue 10:30 a.m. - 10:45 a.m.
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Uncertainty estimation under model misspecification in neural network regression
(
Contributed Talk
)
>
SlidesLive Video
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Maria Cervera
馃敆
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Tue 10:45 a.m. - 11:00 a.m.
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Your Bandit Model is Not Perfect: Introducing Robustness to Restless Bandits Enabled by Deep Reinforcement Learning
(
Contributed Talk
)
>
SlidesLive Video
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Jackson Killian
馃敆
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Tue 11:00 a.m. - 11:30 a.m.
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Bayesian Model Averaging is not Model Combination: A PAC-Bayesian Analysis of Deep Ensembles
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Invited Talk
)
>
SlidesLive Video
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Andres Masegosa
馃敆
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Tue 11:00 a.m. - 11:05 a.m.
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Invited Talk 3 Q&A
(
Q&A
)
>
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Andres Masegosa
馃敆
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Tue 11:35 a.m. - 12:00 p.m.
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Individual discussions in Gathertown
(
Gathertown discussion
)
>
link
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馃敆
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Tue 12:00 p.m. - 12:15 p.m.
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PAC^m-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
(
Contributed Talk
)
>
SlidesLive Video
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Alexander Alemi
馃敆
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Tue 12:15 p.m. - 12:30 p.m.
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Bayesian Data Selection
(
Contributed Talk
)
>
SlidesLive Video
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Eli N Weinstein
馃敆
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Tue 12:30 p.m. - 1:00 p.m.
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Statistically Robust Inference with Stochastic Gradient Algorithms
(
Invited Talk
)
>
SlidesLive Video
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Jonathan Huggins
馃敆
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Tue 1:00 p.m. - 1:05 p.m.
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Invited Talk 4 Q&A
(
Q&A
)
>
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Jonathan Huggins
馃敆
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Tue 1:05 p.m. - 1:30 p.m.
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Individual discussions in Gathertown
(
Gathertown discussion
)
>
link
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馃敆
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Tue 1:30 p.m. - 2:00 p.m.
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Your Model is Wrong (but Might Still Be Useful)
(
Invited Talk
)
>
SlidesLive Video
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Lester Mackey
馃敆
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Tue 2:00 p.m. - 2:05 p.m.
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Invited Talk 5 Q&A
(
Q&A
)
>
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Lester Mackey
馃敆
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Tue 2:05 p.m. - 2:35 p.m.
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Statistical and Computational Tradeoffs in Variational Bayes
(
Invited Talk
)
>
SlidesLive Video
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Yixin Wang
馃敆
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Tue 2:35 p.m. - 2:40 p.m.
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Invited Talk 6 Q&A
(
Q&A
)
>
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Yixin Wang
馃敆
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Tue 3:15 p.m. - 4:30 p.m.
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Poster session II in Gathertown + End
(
Poster session
)
>
link
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馃敆
|
-
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Bayesian Data Selection
(
Poster
)
>
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Eli N Weinstein 路 Jeffrey Miller
馃敆
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-
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Uncertainty estimation under model misspecification in neural network regression
(
Poster
)
>
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Maria Cervera 路 Rafael D盲twyler 路 Francesco D'Angelo 路 Hamza Keurti 路 Benjamin F. Grewe 路 Christian Henning
馃敆
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-
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Fast approximate BayesBag model selection via Taylor expansions
(
Poster
)
>
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Neil Spencer 路 Jeffrey Miller
馃敆
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-
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Diversity and Generalization in Neural Network Ensembles
(
Poster
)
>
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Luis Antonio Ortega Andr茅s 路 Andres Masegosa 路 Rafael Caba帽as
馃敆
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-
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A shared parameter model accounting for drop-out not at random in a predictive model for systolic bloodpressure using the HUNT study
(
Poster
)
>
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Aurora Christine Hofman
馃敆
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-
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Influential Observations in Bayesian Regression Tree Models
(
Poster
)
>
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Matthew Pratola
馃敆
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-
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Invariant Priors for Bayesian Quadrature
(
Poster
)
>
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Masha Naslidnyk 路 Javier Gonz谩lez 路 Maren Mahsereci
馃敆
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-
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Composite Goodness-of-fit Tests with Kernels
(
Poster
)
>
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Oscar Key 路 Tamara Fernandez 路 Arthur Gretton 路 Francois-Xavier Briol
馃敆
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-
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Inferior Clusterings in Misspecified Gaussian Mixture Models
(
Poster
)
>
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Siva Rajesh Kasa 路 Vaibhav Rajan
馃敆
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-
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Blindness of score-based methods to isolated components and mixing proportions
(
Poster
)
>
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Li Kevin Wenliang 路 Heishiro Kanagawa
馃敆
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-
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Bounding Wasserstein distance with couplings
(
Poster
)
>
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Niloy Biswas 路 Lester Mackey
馃敆
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-
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Relaxing the I.I.D. Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization
(
Poster
)
>
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Blair Bilodeau 路 Jeffrey Negrea 路 Dan Roy
馃敆
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-
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Measuring the sensitivity of Gaussian processes to kernel choice
(
Poster
)
>
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Will Stephenson 路 Soumya Ghosh 路 Tin Nguyen 路 Mikhail Yurochkin 路 Sameer Deshpande 路 Tamara Broderick
馃敆
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-
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Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
(
Poster
)
>
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Harita Dellaporta 路 Jeremias Knoblauch 路 Theodoros Damoulas 路 Francois-Xavier Briol
馃敆
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-
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Your Bandit Model is Not Perfect: Introducing Robustness to Restless Bandits Enabled by Deep Reinforcement Learning
(
Poster
)
>
|
Jackson Killian 路 Lily Xu 路 Arpita Biswas 路 Milind Tambe
馃敆
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-
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Bayesian Calibration of imperfect computer models using Physics-informed priors
(
Poster
)
>
|
Michail Spitieris
馃敆
|
-
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Forcing a model to be correct for classification
(
Poster
)
>
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Jiae Kim 路 Steven MacEachern
馃敆
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-
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Make cross-validation Bayes again
(
Poster
)
>
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Yuling Yao 路 Aki Vehtari
馃敆
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-
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Evaluating Bayesian Hierarchical Models for sc-RNA seq Data
(
Poster
)
>
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Sijia Li
馃敆
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-
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On Robustness of Counterfactuals in Structural Models
(
Poster
)
>
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Yaroslav Mukhin
馃敆
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-
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Robust Generalised Bayesian Inference for Intractable Likelihoods
(
Poster
)
>
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Takuo Matsubara 路 Jeremias Knoblauch 路 Francois-Xavier Briol 路 Chris Oates
馃敆
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-
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Boosting heterogeneous VAEs via multi-objective optimization
(
Poster
)
>
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Adri谩n Javaloy 路 Maryam Meghdadi 路 Isabel Valera
馃敆
|
-
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PAC^m-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
(
Poster
)
>
|
Joshua Dillon 路 Warren Morningstar 路 Alexander Alemi
馃敆
|