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9 Results
Poster
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Tue 17:30 |
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up Dominic Richards · Patrick Rebeschini |
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Poster
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Tue 10:45 |
Order Optimal One-Shot Distributed Learning Arsalan Sharifnassab · Saber Salehkaleybar · S. Jamaloddin Golestani |
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Poster
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Wed 17:00 |
A New Distribution on the Simplex with Auto-Encoding Applications Andrew Stirn · Tony Jebara · David Knowles |
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Poster
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Tue 17:30 |
A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization Sulaiman Alghunaim · Kun Yuan · Ali H Sayed |
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Poster
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Wed 10:45 |
Scalable inference of topic evolution via models for latent geometric structures Mikhail Yurochkin · Zhiwei Fan · Aritra Guha · Paraschos Koutris · XuanLong Nguyen |
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Poster
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Thu 17:00 |
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning Igor Colin · Ludovic DOS SANTOS · Kevin Scaman |
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Poster
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Wed 10:45 |
Energy-Inspired Models: Learning with Sampler-Induced Distributions Dieterich Lawson · George Tucker · Bo Dai · Rajesh Ranganath |
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Poster
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Tue 17:30 |
Statistical Model Aggregation via Parameter Matching Mikhail Yurochkin · Mayank Agarwal · Soumya Ghosh · Kristjan Greenewald · Nghia Hoang |
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Poster
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Thu 17:00 |
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback Shuai Zheng · Ziyue Huang · James Kwok |