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Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling

Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling

Alexander K. Buchholz
Jan Malte Lichtenberg
Giuseppe Di Benedetto
Yannik Stein
Vito Bellini
M. Ruffini
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Papers citing "Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling"

5 / 5 papers shown
Title
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
W. Kool
H. V. Hoof
Max Welling
109
219
0
14 Mar 2019
Offline Evaluation of Ranking Policies with Click Models
Offline Evaluation of Ranking Policies with Click Models
Shuai Li
Yasin Abbasi-Yadkori
Branislav Kveton
S. Muthukrishnan
Vishwa Vinay
Zheng Wen
CML
OffRL
51
67
0
27 Apr 2018
Unbiased Learning-to-Rank with Biased Feedback
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims
Adith Swaminathan
Tobias Schnabel
CML
73
542
0
16 Aug 2016
On Integration Methods Based on Scrambled Nets of Arbitrary Size
On Integration Methods Based on Scrambled Nets of Arbitrary Size
Mathieu Gerber
43
16
0
12 Aug 2014
Black Box Variational Inference
Black Box Variational Inference
Rajesh Ranganath
S. Gerrish
David M. Blei
DRL
BDL
129
1,166
0
31 Dec 2013

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