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Oral
Wed Jun 12 08:00 AM -- 08:20 AM (KST) @ Hall B
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
In Deep Learning Optimization
Behrooz Ghorbani · Shankar Krishnan · Ying Xiao
[ Slides]  [ Video] 
Oral
Wed Jun 12 08:20 AM -- 08:25 AM (KST) @ Hall B
Differentiable Linearized ADMM
In Deep Learning Optimization
Xingyu Xie · Jianlong Wu · Guangcan Liu · Zhisheng Zhong · Zhouchen Lin
Oral
Wed Jun 12 08:25 AM -- 08:30 AM (KST) @ Hall B
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
In Deep Learning Optimization
Youhei Akimoto · Shinichi Shirakawa · Nozomu Yoshinari · Kento Uchida · Shota Saito · Kouhei Nishida
[ Slides]  [ Video] 
Oral
Wed Jun 12 08:30 AM -- 08:35 AM (KST) @ Hall B
A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent
In Deep Learning Optimization
YongQiang Cai · Qianxiao Li · Zuowei Shen
[ Slides]  [ Video] 
Oral
Wed Jun 12 08:35 AM -- 08:40 AM (KST) @ Hall B
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study
In Deep Learning Optimization
Daniel Park · Jascha Sohl-Dickstein · Quoc Le · Samuel Smith
[ Slides]  [ Video] 
Oral
Wed Jun 12 08:40 AM -- 09:00 AM (KST) @ Hall B
AdaGrad stepsizes: sharp convergence over nonconvex landscapes
In Deep Learning Optimization
Rachel Ward · Xiaoxia Wu · Leon Bottou
[ Slides]  [ Video] 
Oral
Wed Jun 12 09:00 AM -- 09:05 AM (KST) @ Hall B
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
In Deep Learning Optimization
Anna Choromanska · Benjamin Cowen · Sadhana Kumaravel · Ronny Luss · Mattia Rigotti · Irina Rish · Paolo DiAchille · Viatcheslav Gurev · Brian Kingsbury · Ravi Tejwani · Djallel Bouneffouf
[ Slides]  [ Video] 
Oral
Wed Jun 12 09:05 AM -- 09:10 AM (KST) @ Hall B
SWALP : Stochastic Weight Averaging in Low Precision Training
In Deep Learning Optimization
Guandao Yang · Tianyi Zhang · Polina Kirichenko · Junwen Bai · Andrew Wilson · Christopher De Sa
[ Slides]  [ Video] 
Oral
Wed Jun 12 09:10 AM -- 09:15 AM (KST) @ Hall B
Efficient optimization of loops and limits with randomized telescoping sums
In Deep Learning Optimization
Alex Beatson · Ryan P Adams
[ Slides]  [ Video] 
Oral
Wed Jun 12 09:15 AM -- 09:20 AM (KST) @ Hall B
Self-similar Epochs: Value in arrangement
In Deep Learning Optimization
Eliav Buchnik · Edith Cohen · Avinatan Hasidim · Yossi Matias
[ Slides]  [ Video]