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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 09:00 AM -- 09:20 AM (KST)
A Tale of Two Efficient and Informative Negative Sampling Distributions
In Optimization and Algorithms 1
Shabnam Daghaghi · Tharun Medini · Nicholas Meisburger · Beidi Chen · Mengnan Zhao · Anshumali Shrivastava
[ Paper ]
Spotlight
Wed Jul 21 09:20 AM -- 09:25 AM (KST)
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models
In Optimization and Algorithms 1
Zhuohan Li · Siyuan Zhuang · Shiyuan Guo · Danyang Zhuo · Hao Zhang · Dawn Song · Ion Stoica
[ Paper ]
Spotlight
Wed Jul 21 09:25 AM -- 09:30 AM (KST)
Quantization Algorithms for Random Fourier Features
In Optimization and Algorithms 1
Xiaoyun Li · Ping Li
[ Paper ]
Spotlight
Wed Jul 21 09:30 AM -- 09:35 AM (KST)
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
In Optimization and Algorithms 1
Da Xu · Chuanwei Ruan · Evren Korpeoglu · Sushant Kumar · Kannan Achan
[ Paper ]
Spotlight
Wed Jul 21 09:35 AM -- 09:40 AM (KST)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
In Optimization and Algorithms 1
Fabien Collas · Ekhine IRUROZKI
[ Paper ]
Spotlight
Wed Jul 21 09:40 AM -- 09:45 AM (KST)
Heterogeneity for the Win: One-Shot Federated Clustering
In Optimization and Algorithms 1
Don Kurian Dennis · Tian Li · Virginia Smith
[ Paper ]
Spotlight
Wed Jul 21 09:45 AM -- 09:50 AM (KST)
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data
In Optimization and Algorithms 1
Yasaman Esfandiari · Sin Yong Tan · Zhanhong Jiang · Aditya Balu · Ethan Herron · Chinmay Hegde · Soumik Sarkar
[ Paper ]
Q&A
Wed Jul 21 09:50 AM -- 09:55 AM (KST)
Q&A
In Optimization and Algorithms 1