JMLR Workshop and Conference Proceedings
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Introduction
Contributed papers
- Learning to Rank Using an Ensemble of Lambda-Gradient Models
- C. Burges, K.
Svore, P. Bennett, A. Pastusiak & Q. Wu; 14:25–35, 2011.
[abs] [pdf]
- Ranking by calibrated AdaBoost
- R. Busa-Fekete, B. Kégl, T. Éltető & G.
Szarvas; 14:37–48, 2011.
[abs] [pdf]
- Winning The Transfer Learning Track of Yahoo!’s Learning To Rank Challenge with YetiRank
-
A. Gulin, I. Kuralenok & D. Pavlov; 14:63–76, 2011.
[abs] [pdf]
- Web-Search Ranking with Initialized Gradient Boosted Regression Trees
- A. Mohan, Z.
Chen & K. Weinberger; 14:77–89, 2011.
[abs] [pdf]
Afterword
- Future directions in learning to rank
- O. Chapelle, Y. Chang & T.-Y. Liu; 14:91–100, 2011.
[abs] [pdf]

