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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 09:00 PM -- 09:20 PM (KST)
BORE: Bayesian Optimization by Density-Ratio Estimation
In Auto-ML and Optimization
Louis Chi-Chun Tiao · Aaron Klein · Matthias W Seeger · Edwin V Bonilla · Cedric Archambeau · Fabio Ramos
[ Paper ]
Spotlight
Tue Jul 20 09:20 PM -- 09:25 PM (KST)
AutoSampling: Search for Effective Data Sampling Schedules
In Auto-ML and Optimization
MING SUN · Haoxuan Dou · Baopu Li · Junjie Yan · Wanli Ouyang · Lei Cui
[ Paper ]
Spotlight
Tue Jul 20 09:25 PM -- 09:30 PM (KST)
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
In Auto-ML and Optimization
Niv Nayman · Yonathan Aflalo · Asaf Noy · Lihi Zelnik
[ Paper ]
Spotlight
Tue Jul 20 09:30 PM -- 09:35 PM (KST)
Bias-Robust Bayesian Optimization via Dueling Bandits
In Auto-ML and Optimization
Johannes Kirschner · Andreas Krause
[ Paper ]
Spotlight
Tue Jul 20 09:35 PM -- 09:40 PM (KST)
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging
In Auto-ML and Optimization
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier
[ Paper ]
Spotlight
Tue Jul 20 09:40 PM -- 09:45 PM (KST)
Sparsifying Networks via Subdifferential Inclusion
In Auto-ML and Optimization
Sagar Verma · Jean-Christophe Pesquet
[ Paper ]
Q&A
Tue Jul 20 09:45 PM -- 09:50 PM (KST)
Q&A
In Auto-ML and Optimization