Travelled to:1 × France
1 × The Netherlands
4 × USA
Collaborated with:∅ G.Wachman D.Golovin H.B.McMahan M.Young R.G.Malkin S.Basu R.J.Bayardo M.E.Otey M.Pohl B.Spitznagel J.Hainsworth Y.Zhou
Talks about:advertis (2) learn (2) adversari (1) feedback (1) sponsor (1) regress (1) predict (1) practic (1) search (1) random (1)
Person: D. Sculley
DBLP: Sculley:D=
Contributed to:
2013
2011201020092007
2007Wrote 6 papers:
- ICML-c2-2013-GolovinSMY #learning #ram #scalability
- Large-Scale Learning with Less RAM via Randomization (DG, DS, HBM, MY), pp. 325–333.
- KDD-2011-SculleyOPSHZ #detection
- Detecting adversarial advertisements in the wild (DS, MEO, MP, BS, JH, YZ), pp. 274–282.
- KDD-2010-Sculley #ranking
- Combined regression and ranking (DS), pp. 979–988.
- KDD-2009-SculleyMBB #predict
- Predicting bounce rates in sponsored search advertisements (DS, RGM, SB, RJB), pp. 1325–1334.
- KDD-2007-Sculley #feedback #learning
- Practical learning from one-sided feedback (DS), pp. 609–618.
- SIGIR-2007-SculleyW #online
- Relaxed online SVMs for spam filtering (DS, GW), pp. 415–422.