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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 05:00 AM -- 05:20 AM (PDT)
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 05:20 AM -- 05:25 AM (PDT)
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 05:25 AM -- 05:30 AM (PDT)
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 05:30 AM -- 05:35 AM (PDT)
Bias-Robust Bayesian Optimization via Dueling Bandits
In Auto-ML and Optimization
Johannes Kirschner · Andreas Krause
[ Paper ]
Spotlight
Tue Jul 20 05:35 AM -- 05:40 AM (PDT)
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 05:40 AM -- 05:45 AM (PDT)
Sparsifying Networks via Subdifferential Inclusion
In Auto-ML and Optimization
Sagar Verma · Jean-Christophe Pesquet
[ Paper ]
Q&A
Tue Jul 20 05:45 AM -- 05:50 AM (PDT)
Q&A
In Auto-ML and Optimization