Travelled to:1 × Finland
1 × United Kingdom
2 × Canada
4 × USA
Collaborated with:A.A.Kalaitzis R.Urtasun A.J.Moore J.Q.Candela J.C.Platt B.Schölkopf J.D.Lafferty S.Zhou A.C.Damianou C.H.Ek M.K.Titsias D.J.Fleet A.Geiger J.Popovic T.Darrell
Talks about:gaussian (2) variabl (2) process (2) latent (2) model (2) learn (2) constraint (1) discrimin (1) constrain (1) manifold (1)
Person: Neil D. Lawrence
DBLP: Lawrence:Neil_D=
Contributed to:
20132012200920082007200620042001Wrote 9 papers:
- ICML-c3-2013-KalaitzisLLZ
- The Bigraphical Lasso (AAK, JDL, NDL, SZ), pp. 1229–1237.
- ICML-2012-DamianouETL
- Manifold Relevance Determination (ACD, CHE, MKT, NDL), p. 72.
- ICML-2012-KalaitzisL #analysis #component
- Residual Components Analysis (AAK, NDL), p. 73.
- ICML-2009-LawrenceU #matrix #process
- Non-linear matrix factorization with Gaussian processes (NDL, RU), pp. 601–608.
- ICML-2008-UrtasunFGPDL #modelling
- Topologically-constrained latent variable models (RU, DJF, AG, JP, TD, NDL), pp. 1080–1087.
- ICML-2007-LawrenceM #modelling #process
- Hierarchical Gaussian process latent variable models (NDL, AJM), pp. 481–488.
- ICML-2006-LawrenceC #constraints #distance
- Local distance preservation in the GP-LVM through back constraints (NDL, JQC), pp. 513–520.
- ICML-2004-LawrenceP #learning
- Learning to learn with the informative vector machine (NDL, JCP).
- ICML-2001-LawrenceS #kernel
- Estimating a Kernel Fisher Discriminant in the Presence of Label Noise (NDL, BS), pp. 306–313.