Travelled to:1 × China
1 × Spain
1 × USA
1 × United Kingdom
Collaborated with:D.Schuurmans C.Hsieh T.King J.Cho A.György C.Szepesvári Y.Yu X.Zhang R.Kiros M.H.Bowling P.McCracken M.James D.F.Wilkinson
Talks about:represent (1) recommend (1) nonlinear (1) dimension (1) thompson (1) approxim (1) regular (1) predict (1) versus (1) search (1)
Person: James Neufeld
DBLP: Neufeld:James
Contributed to:
2015
201420122006Wrote 4 papers:
- SAC-2015-HsiehNKC #approximate #performance #query #recommendation
- Efficient approximate thompson sampling for search query recommendation (CCH, JN, TK, JC), pp. 740–746.
- ICML-c2-2014-NeufeldGSS #adaptation #monte carlo
- Adaptive Monte Carlo via Bandit Allocation (JN, AG, CS, DS), pp. 1944–1952.
- ICML-2012-NeufeldYZKS #reduction
- Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations (JN, YY, XZ, RK, DS), p. 191.
- ICML-2006-BowlingMJNW #learning #policy #predict #using
- Learning predictive state representations using non-blind policies (MHB, PM, MJ, JN, DFW), pp. 129–136.