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  2. Biometrika (2015), 102, 2, pp. 315–323 doi:…

    www.statslab.cam.ac.uk/~rjs57/Biometrika-2015-Yu-315-23.pdf
    23 Oct 2016: s. Then. ‖ sin (V̂ , V )‖F 2 min(d1/2‖̂ ‖op, ‖̂ ‖F). ... is in themin(d 1/2‖̂ ‖op, ‖̂ ‖F) term in the numerator of the bounds.
  3. Journal of Machine Learning Research ? (????) ?-?? Submitted ...

    www.statslab.cam.ac.uk/~rds37/papers/shah16.pdf
    9 Jun 2016: Journal of Machine Learning Research? (?)? -? Submitted 11/13; Revised 3/16; Published? /? Modelling Interactions in High-dimensional Data withBacktracking. Rajen D. Shah r.shah@statslab.cam.ac.ukStatistical Laboratory. University of Cambridge.
  4. THE WORK OF LUCIO RUSSO ON PERCOLATION GEOFFREY R. ...

    www.statslab.cam.ac.uk/~grg/papers/russo3.pdf
    24 Apr 2016: 2, and integrate (5.6) to obtain. (5.7) Pp(A). { ǫp if p < p0, 1 ǫp if p > p0,. ... with. ǫp =1. 1 (1/η)c′|pp0|. Such inequalities have found numerous applications in percolation and relatedtopics, see for example [12, 19, 24].
  5. book.dvi

    www.statslab.cam.ac.uk/~frank/STOCHNET/LNSN_corr/book.pdf
    14 May 2016: Lecture Notes on Stochastic Networks. Frank Kelly and Elena Yudovina. Contents. Preface page ix. Overview 1. Queueing and loss networks 2. Decentralized optimization 4. Random access networks 5. Broadband networks 6. Internet modelling 8. Part I 11.
  6. 22 Jul 2016: ato. ph. ag. oid. es. fari. nae. Sarc. op. tes. scab. ... tifi. ed. op. en. -read. ing. fram. es. wit. hsi. gn.
  7. This isa spec ific indiv idual’s copy of the ...

    www.damtp.cam.ac.uk/user/sjc1/teaching/VandM/notes.pdf
    6 Nov 2016: z| =(x2 y2. )1/2. Complex conjugate. IfOP represents z, then. OP ′ rep-.
  8. Non-resonant optical control of a spinor polariton condensate A. ...

    www.damtp.cam.ac.uk/user/ngb23/publications/PRB2016.pdf
    12 Jul 2016: V. CONCLUSIONS. We demonstrate the density dependence of the spinstate of a polariton condensate under non-resonant op-tical excitation. ... The latter weattribute to the inherent spin imbalance induced by op-tical excitation in combination with the
  9. Power and limitations of convex formulationsvia linear and…

    www.damtp.cam.ac.uk/user/hf323/Fawzi_PhDthesis.pdf
    6 Oct 2016: Power and limitations of convex formulationsvia linear and semidefinite programming lifts. by. Hamza Fawzi. Submitted to the Department of Electrical Engineering and ComputerScience. in partial fulfillment of the requirements for the degree of.
  10. Colloid Transport by Interfacial Forces

    www.damtp.cam.ac.uk/user/gold/pdfs/teaching/AndersonARFM.pdf
    2 Oct 2016: Myx OP _ 0 oy ox - , oP _ dY' (OP) ox -dx oY y=ys' (23).
  11. OP-MOLB160211 3226..3248

    www.damtp.cam.ac.uk/user/gold/pdfs/silicon_transport.pdf
    10 Nov 2016: The Evolution of Silicon Transport in Eukaryotes. Alan O. Marron,1,2 Sarah Ratcliffe,3 Glen L. Wheeler,4 Raymond E. Goldstein,1 Nicole King,5 Fabrice Not,6,7. Colomban de Vargas,6,7 and Daniel J. Richter5,6,71Department of Applied Mathematics and

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