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Poster
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Tue 21:00
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Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
Nian Si · Jose Blanchet · Soumyadip Ghosh · Mark Squillante
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Poster
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Thu 9:00
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Efficient Low Rank Gaussian Variational Inference for Neural Networks
Marcin Tomczak · Siddharth Swaroop · Richard Turner
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Poster
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Thu 9:00
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Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Shreyas Fadnavis · Joshua Batson · Eleftherios Garyfallidis
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Spotlight
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Tue 19:50
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Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori · Achal Dave · Vaishaal Shankar · Nicholas Carlini · Benjamin Recht · Ludwig Schmidt
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Spotlight
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Thu 8:10
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System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
Cornelius Schröder · David Klindt · Sarah Strauss · Katrin Franke · Matthias Bethge · Thomas Euler · Philipp Berens
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Spotlight
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Wed 8:00
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Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
Victor Veitch · Anisha Zaveri
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Poster
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Mon 21:00
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When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
Zhaozhi Qian · Ahmed Alaa · Mihaela van der Schaar
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Oral
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Mon 18:00
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When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
Zhaozhi Qian · Ahmed Alaa · Mihaela van der Schaar
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Poster
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Thu 9:00
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Neuronal Gaussian Process Regression
Johannes Friedrich
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Poster
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Thu 9:00
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Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization
Chaobing Song · Yong Jiang · Yi Ma
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Poster
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Thu 9:00
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SuperLoss: A Generic Loss for Robust Curriculum Learning
Thibault Castells · Philippe Weinzaepfel · Jerome Revaud
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Poster
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Thu 9:00
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System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
Cornelius Schröder · David Klindt · Sarah Strauss · Katrin Franke · Matthias Bethge · Thomas Euler · Philipp Berens
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