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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 05:00 PM -- 05:20 PM (PDT)
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
Tue Jul 20 05:20 PM -- 05:25 PM (PDT)
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
Tue Jul 20 05:25 PM -- 05:30 PM (PDT)
Quantization Algorithms for Random Fourier Features
In Optimization and Algorithms 1
Xiaoyun Li · Ping Li
[ Paper ]
Spotlight
Tue Jul 20 05:30 PM -- 05:35 PM (PDT)
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
Tue Jul 20 05:35 PM -- 05:40 PM (PDT)
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
In Optimization and Algorithms 1
Fabien Collas · Ekhine IRUROZKI
[ Paper ]
Spotlight
Tue Jul 20 05:40 PM -- 05:45 PM (PDT)
Heterogeneity for the Win: One-Shot Federated Clustering
In Optimization and Algorithms 1
Don Kurian Dennis · Tian Li · Virginia Smith
[ Paper ]
Spotlight
Tue Jul 20 05:45 PM -- 05:50 PM (PDT)
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
Tue Jul 20 05:50 PM -- 05:55 PM (PDT)
Q&A
In Optimization and Algorithms 1