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152 Results
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Poster
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Thu 10:45 |
Continuous-time Models for Stochastic Optimization Algorithms Antonio Orvieto · Aurelien Lucchi |
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Poster
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Thu 10:45 |
On the Convergence Rate of Training Recurrent Neural Networks Zeyuan Allen-Zhu · Yuanzhi Li · Zhao Song |
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Poster
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Tue 17:30 |
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points Zhize Li |
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Poster
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Tue 10:45 |
Ultrametric Fitting by Gradient Descent Giovanni Chierchia · Benjamin Perret |
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Poster
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Tue 17:30 |
Iterative Least Trimmed Squares for Mixed Linear Regression Yanyao Shen · Sujay Sanghavi |
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Poster
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Wed 17:00 |
Learning to Optimize in Swarms Yue Cao · Tianlong Chen · Zhangyang Wang · Yang Shen |
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Poster
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Tue 17:30 |
Robust and Communication-Efficient Collaborative Learning Amirhossein Reisizadeh · Hossein Taheri · Aryan Mokhtari · Hamed Hassani · Ramtin Pedarsani |
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Poster
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Thu 10:45 |
Competitive Gradient Descent Florian Schaefer · Anima Anandkumar |
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Poster
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Wed 10:45 |
A Stochastic Composite Gradient Method with Incremental Variance Reduction Junyu Zhang · Lin Xiao |
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Poster
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Thu 10:45 |
Practical Two-Step Lookahead Bayesian Optimization Jian Wu · Peter Frazier |
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Poster
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Tue 10:45 |
Stagewise Training Accelerates Convergence of Testing Error Over SGD Zhuoning Yuan · Yan Yan · Rong Jin · Tianbao Yang |
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Poster
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Wed 17:00 |
Möbius Transformation for Fast Inner Product Search on Graph Zhixin Zhou · Shulong Tan · Zhaozhuo Xu · Ping Li |