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Poster
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Wed 10:45
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Verified Uncertainty Calibration
Ananya Kumar · Percy Liang · Tengyu Ma
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Poster
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Wed 17:00
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Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels
Natalia Neverova · David Novotny · Andrea Vedaldi
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Poster
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Tue 10:45
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Neural Networks with Cheap Differential Operators
Tian Qi Chen · David Duvenaud
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Poster
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Wed 10:45
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Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
Axel Brando · Jose A Rodriguez · Jordi Vitria · Alberto Rubio Muñoz
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Poster
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Wed 10:45
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Computing Full Conformal Prediction Set with Approximate Homotopy
Eugene Ndiaye · Ichiro Takeuchi
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Poster
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Tue 10:45
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Value Function in Frequency Domain and the Characteristic Value Iteration Algorithm
Amir-massoud Farahmand
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Poster
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Thu 10:45
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Abstraction based Output Range Analysis for Neural Networks
Pavithra Prabhakar · Zahra Rahimi Afzal
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Poster
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Tue 10:45
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Differentially Private Bayesian Linear Regression
Garrett Bernstein · Daniel Sheldon
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Poster
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Wed 10:45
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Single-Model Uncertainties for Deep Learning
Nataša Tagasovska · David Lopez-Paz
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Poster
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Wed 10:45
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Calibration tests in multi-class classification: A unifying framework
David Widmann · Fredrik Lindsten · Dave Zachariah
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Poster
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Wed 10:45
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Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Andrey Malinin · Mark Gales
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Poster
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Tue 10:45
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Debiased Bayesian inference for average treatment effects
Kolyan Ray · Botond Szabo
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