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1 - 10 of 16 search results for tj KaKaotalk:PC53 where 0 match all words and 16 match some words.
  1. Results that match 1 of 2 words

  2. Leverage Mendelian Randomization to Learn MeaningfulRepresentations…

    www.statslab.cam.ac.uk/~qz280/talk/lmrl-2021/slides.pdf
    3 Jun 2024: ψ(ρ)1 (β,τ. 2) =. pj=1. ( β. tj)ψ(tj ),. ψ(ρ)2 (β,τ. ... 2) =. pj=1. tj ψ(tj ) E[Tψ(T )], for T N(0, 1).
  3. 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.
  4. Mendelian Randomization: Old and New Insights Qingyuan Zhao…

    www.statslab.cam.ac.uk/~qz280/talk/epfl-2021/slides.pdf
    3 Jun 2024: 4): Q-Q plot of standardized residual:. tj (β̂) =Γ̂j β̂γ̂j. 1 β̂2. ... Robust adjusted profile score (RAPS). I Define standardized residual: tj (β,τ2) =. Γ̂j βγ̂j1 β2 τ2. I For some robust loss ρ (let ψ = ρ′), the RAPS equations
  5. Simultaneous Hypothesis Testing using Internal Negative Controls…

    www.statslab.cam.ac.uk/~qz280/publication/ranc/slides.pdf
    3 Jun 2024: 2 (Ti)iI (Tj)jInc;3 (Tj)jInc is mutually independent;. 4 (Ti)iI is PRDS on (Ti)iI0;. ... R(t) 1, 0 t 1. Further define. Vnc(t) :=jInc. 1{Tj t}, V̄nc(t) :=n (Vnc(t) 2).
  6. Mendelian Randomization: Old and New Insights Qingyuan Zhao…

    www.statslab.cam.ac.uk/~qz280/talk/penn-biostat-2021/slides.pdf
    3 Jun 2024: 4): Q-Q plot of standardized residual:. tj (β̂) =Γ̂j β̂γ̂j. 1 β̂2. ... Robust adjusted profile score (RAPS). I Define standardized residual: tj (β,τ2) =. Γ̂j βγ̂j1 β2 τ2. I For some robust loss ρ (let ψ = ρ′), the RAPS equations
  7. 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.
  8. Part II Logic and Set Theory András Zsák Lent ...

    https://www.dpmms.cam.ac.uk/~az10000/2024-lent-partii-logic-and-set-notes.pdf
    29 May 2024: S. Adding thelines (. p (tj ti))((p tj) (p ti). )(A2). (p tj) (p ti) (MP)p ti (MP). ... Finally, if there exist j,k < isuch that tk = (tj ti), then v(tj) = v(tj ti) = 1 by induction hypothesis,and hence v(ti) = 1.
  9. 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.
  10. Mendelian randomization: From genetic association to epidemiological…

    www.statslab.cam.ac.uk/~qz280/publication/mr-partially-bayes/slides.pdf
    3 Jun 2024: Robust adjusted profile score (RAPS). I Define standardized residual: tj (β,τ2) =. Γ̂j βγ̂j(σ2Yj τ. 2) β2σ2Xj. I For some robust loss function ρ, the RAPS are. ... ψ(ρ)1 (β,τ. 2) =. pj=1. ρ′(tj ). βtj,. ψ(ρ)2 (β,τ. 2) =. pj=1.
  11. 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.

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