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AnimaAnandkumar's profile
Prof. Anima Anandkumar
Prof. Anima Anandkumar
Prof. Anima Anandkumar
@AnimaAnandkumar

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Prof. Anima Anandkumar

@AnimaAnandkumar

Director of #AI #research @nvidia, Bren #Professor @Caltech, Fmr Principal scientist @awscloud #Sloan fellow #Tensors Erdos #2 #dancer http://anima-ai.org 

Santa Clara, CA
tensorlab.cms.caltech.edu/users/anima/
Joined October 2014

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    1. Prof. Anima Anandkumar‏ @AnimaAnandkumar 27 Dec 2018
      • Report Tweet
      • Report NetzDG Violation

      Prof. Anima Anandkumar Retweeted Kamyar Azizzadenesheli

      Our paper accepted to #ICLR2019 on SignSGD: communication efficient and Byzantine fault tolerant. Compressing gradients to just signs has nearly no loss in accuracy. Our theory has bounds on convergence rate + Byzantine tolerance. @PyTorch code shows gains in throughput.https://twitter.com/kazizzad/status/1078425796161597440 …

      Prof. Anima Anandkumar added,

      Kamyar Azizzadenesheli @kazizzad
      Distributed optimization? Some main aims; Sys: communication efficient & fast Opt: convergent & fast Robustness: fault tolerant & fast Stat: Generalize & fast Checkout https://openreview.net/forum?id=BJxhijAcY7 … J. Bernstein @jxbz, J. Zhao, me, and @AnimaAnandkumar code; https://github.com/PermiJW/signSGD-with-Majority-Vote … pic.twitter.com/Txz4k1DgpO
      Show this thread
      5 replies 50 retweets 260 likes
    2. Chomba Bupe‏ @ChombaBupe 28 Dec 2018
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      Replying to @AnimaAnandkumar @PyTorch

      Did something similar a year ago.https://chombabupe.quora.com/Deep-Support-Vector-Machine-Networks?ch=10&share=c25620c9&srid=TwSi …

      1 reply 0 retweets 3 likes
    3. david moloney #Masks4All‏ @cto_maverick 28 Dec 2018
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      Replying to @ChombaBupe @AnimaAnandkumar @PyTorch

      Doesn't surprise me these techniques work. I did on adaptive filters in the 90s. Sign LMS adaptive filters work just fine, indeed so does sign-sign LMS LMS filtering including sign LMS has been around since the 1960 when Widrow invented the technique in Stanford

      2 replies 0 retweets 2 likes
    4. Chomba Bupe‏ @ChombaBupe 29 Dec 2018
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      Replying to @cto_maverick @AnimaAnandkumar @PyTorch

      Didn't surprise me either, the idea about my "back sign signal propagation" was to try out a biologically plausible mechanisms of learning.

      1 reply 0 retweets 0 likes
    5. Prof. Anima Anandkumar‏ @AnimaAnandkumar 29 Dec 2018
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      Replying to @ChombaBupe @PyTorch

      Please read the paper in detail. Theory is novel. Until now there was no convergence rate bounds for gradient quantization without any corrections.

      0 replies 0 retweets 0 likes
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    7. david moloney #Masks4All‏ @cto_maverick 30 Dec 2018
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      Replying to @AnimaAnandkumar @ChombaBupe @PyTorch

      LMS is a special case of Gradient Descent and the sign-LMS variant has been around for decades and used for training NNs in 90s if not earlier [Hassibi]

      1 reply 0 retweets 2 likes
      Prof. Anima Anandkumar‏ @AnimaAnandkumar 30 Dec 2018
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      Replying to @cto_maverick @ChombaBupe @PyTorch

      Indeed. Babak hassibi is aware of our work. There has been a lot of early work in other communities.

      2:20 AM - 30 Dec 2018
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