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  1. Results that match 1 of 2 words

  2. Leader Stochastic Gradient Descent (LSGD) for Distributed Training of …

    https://mlg.eng.cam.ac.uk/adrian/LSGD_Poster_NeurIPS2019.pdf
    19 Jun 2024: xn,l. Set iteration counters tj,i = 0Set x̃j0 = rgmin. xj,1,.,xj,lE[f(xj,i;ξj,i0)], x̃0 = rgmin. ... j,i)tj,i = tj,i 1;. if nlτ divides (n︀j=1. l︀i=1. tj,i) then.
  3. PHYSICAL REVIEW E 86, 011909 (2012) Non-normal amplification in ...

    https://cbl.eng.cam.ac.uk/publications/hennequin-pre-2012.pdf
    25 Jun 2024: i1j =1. tij. (i1k=1. tikσj k j 1k=1. tj kσik. ), (A4). ... tij tj ktkσi〉. (A7). As above, the first sum vanishes except for = j.
  4. Biochemistry Archives - Clare Hall

    https://www.clarehall.cam.ac.uk/categories/biochemistry/feed/
    2 Jul 2024: Molecular Microbiology 120 (2), 298–306 (2023)/li liAithani L, Alcaide E, Bartunov S, Cooper CDO, Doré AS, Lane TJ, Maclean F, Rucktooa P, Shaw RA, Skerratt SE.
  5. Academic Community - Clare Hall

    https://www.clarehall.cam.ac.uk/directory/feed/
    2 Jul 2024: Molecular Microbiology 120 (2), 298–306 (2023)/li liAithani L, Alcaide E, Bartunov S, Cooper CDO, Doré AS, Lane TJ, Maclean F, Rucktooa P, Shaw RA, Skerratt SE.
  6. https://specialcollections-blog.lib.cam.ac.uk/?feed=rss2&tag=views

    https://specialcollections-blog.lib.cam.ac.uk/?feed=rss2&tag=views
    26 Jun 2024: M and V 2013/p pBenton G M1909 Drawings relating to Cambridgeshire, by R Relhan etc, East Anglian, New series XIII/p pBingley FJ and Cockerill TJ 2006 emCambridgeshire church
  7. Structural Biology Archives - Clare Hall

    https://www.clarehall.cam.ac.uk/categories/structural-biology/feed/
    2 Jul 2024: Molecular Microbiology 120 (2), 298–306 (2023)/li liAithani L, Alcaide E, Bartunov S, Cooper CDO, Doré AS, Lane TJ, Maclean F, Rucktooa P, Shaw RA, Skerratt SE.
  8. Leader Stochastic Gradient Descent for DistributedTraining of Deep…

    https://mlg.eng.cam.ac.uk/adrian/NeurIPS2019_LSGD_preprint.pdf
    19 Jun 2024: Randomly initialize x1,1,x1,2,. ,xn,lSet iteration counters tj,i = 0Set x̃j0 = arg min. ... Draw random sample ξj,itj,ixj,i xj,i ηgj,it (xj,i)tj,i = tj,i 1;. if nlτ divides (nj=1.
  9. Exact natural gradient in deep linear networks andapplication to ...

    https://cbl.eng.cam.ac.uk/publications/bernacchia-nips-2018.pdf
    25 Jun 2024: Fij =〈xi1x. Tj1〉pθ〈eie. Tj. 〉pθ. (22). There is no reason to expect that this expression is zero for i 6= j, unless the outputs xi or the errorsei are ... Fij =(Wbi ΣW. bj. T)(Wai. T Σ̃1Waj. )=〈xi1x. Tj1〉pθ〈eie. Tj. 〉pθ.
  10. https://specialcollections-blog.lib.cam.ac.uk/?feed=rss2&tag=churc…

    https://specialcollections-blog.lib.cam.ac.uk/?feed=rss2&tag=churches
    26 Jun 2024: M and V 2013/p pBenton G M1909 Drawings relating to Cambridgeshire, by R Relhan etc, East Anglian, New series XIII/p pBingley FJ and Cockerill TJ 2006 emCambridgeshire church
  11. C O P i L cambridge occasional papers in ...

    https://www.mmll.cam.ac.uk/sites/www.mmll.cam.ac.uk/files/3_v16_ren.pdf
    26 Jun 2024: 30) a. Canonical predicationXPi cop [SC [ti] [de-clause]]. b. Inverse predication[de-clausej] cop [SC [XP] [tj]].

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