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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 10:00 PM -- 10:20 PM (KST)
Dynamic Game Theoretic Neural Optimizer
In Optimization and Algorithms 3
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
[ Paper ]
Spotlight
Wed Jul 21 10:20 PM -- 10:25 PM (KST)
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
In Optimization and Algorithms 3
Zi Wang
[ Paper ]
Spotlight
Wed Jul 21 10:25 PM -- 10:30 PM (KST)
A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network
In Optimization and Algorithms 3
Jun-Kun Wang · Chi-Heng Lin · Jacob Abernethy
[ Paper ]
Spotlight
Wed Jul 21 10:30 PM -- 10:35 PM (KST)
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
In Optimization and Algorithms 3
Robin M Schmidt · Frank Schneider · Philipp Hennig
[ Paper ]
Spotlight
Wed Jul 21 10:35 PM -- 10:40 PM (KST)
Tractable structured natural-gradient descent using local parameterizations
In Optimization and Algorithms 3
Wu Lin · Frank Nielsen · Khan Emtiyaz · Mark Schmidt
[ Paper ]
Spotlight
Wed Jul 21 10:40 PM -- 10:45 PM (KST)
Towards Rigorous Interpretations: a Formalisation of Feature Attribution
In Optimization and Algorithms 3
Darius Afchar · Vincent Guigue · Romain Hennequin
[ Paper ]
Spotlight
Wed Jul 21 10:45 PM -- 10:50 PM (KST)
Distributed Nystr\"{o}m Kernel Learning with Communications
In Optimization and Algorithms 3
Rong Yin · Weiping Wang · Dan Meng
[ Paper ]
Q&A
Wed Jul 21 10:50 PM -- 10:55 PM (KST)
Q&A
In Optimization and Algorithms 3