`Travelled to:`

1 × Canada

1 × Finland

1 × Germany

1 × Israel

1 × Italy

1 × United Kingdom

6 × USA

`Collaborated with:`

B.Boots F.Pereira H.B.McMahan A.P.Singh A.Moore A.M.Segre ∅ A.Greenwald C.Marks M.Likhachev M.Rosencrantz S.Thrun A.Blum L.Song S.M.Siddiqi A.J.Smola I.Rish G.Grabarnik G.A.Cecchi

`Talks about:`

learn (6) dimension (2) function (2) program (2) model (2) dynam (2) bound (2) nonparametr (1) experiment (1) decomposit (1)

## Person: Geoffrey J. Gordon

### DBLP: Gordon:Geoffrey_J=

### Contributed to:

### Wrote 13 papers:

- ICML-c1-2013-BootsG #approach #learning
- A Spectral Learning Approach to Range-Only SLAM (BB, GJG), pp. 19–26.
- ICML-2012-BootsG #identification #problem
- Two Manifold Problems with Applications to Nonlinear System Identification (BB, GJG), p. 8.
- ICML-2010-SongSGS #markov #modelling
- Hilbert Space Embeddings of Hidden Markov Models (LS, BB, SMS, GJG, AJS), pp. 991–998.
- ICML-2008-GordonGM #game studies #learning
- No-regret learning in convex games (GJG, AG, CM), pp. 360–367.
- ICML-2008-RishGCPG #linear #modelling #reduction
- Closed-form supervised dimensionality reduction with generalized linear models (IR, GG, GAC, FP, GJG), pp. 832–839.
- KDD-2008-SinghG #learning #matrix #relational
- Relational learning via collective matrix factorization (APS, GJG), pp. 650–658.
- ICML-2006-PereiraG #composition
- The support vector decomposition machine (FP, GJG), pp. 689–696.
- ICML-2005-McMahanLG #bound #performance #programming #realtime
- Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees (HBM, ML, GJG), pp. 569–576.
- ICML-2004-RosencrantzGT #learning #predict
- Learning low dimensional predictive representations (MR, GJG, ST).
- ICML-2003-McMahanGB #cost analysis
- Planning in the Presence of Cost Functions Controlled by an Adversary (HBM, GJG, AB), pp. 536–543.
- ICML-2000-GordonM #learning
- Learning Filaments (GJG, AM), pp. 335–342.
- ICML-1996-GordonS #learning #parametricity #statistics
- Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning (GJG, AMS), pp. 200–206.
- ICML-1995-Gordon #approximate #programming
- Stable Function Approximation in Dynamic Programming (GJG), pp. 261–268.