Masrour Zoghi
Masrour Zoghi
Google Research
Verified email at zoghi.org - Homepage
Title
Cited by
Cited by
Year
Bayesian optimization in a billion dimensions via random embeddings
Z Wang, F Hutter, M Zoghi, D Matheson, N de Feitas
Journal of Artificial Intelligence Research 55, 361-387, 2016
2832016
Bayesian optimization in high dimensions via random embeddings
Z Wang, M Zoghi, F Hutter, D Matheson, N De Freitas
Twenty-Third international joint conference on artificial intelligence, 2013
2762013
Regret bounds for deterministic gaussian process bandits
N de Freitas, A Smola, M Zoghi
arXiv preprint arXiv:1203.2177, 2012
119*2012
Relative Upper Confidence Bound For The K-Armed Dueling Bandit Problem
M Zoghi, S Whiteson, R Munos, M de Rijke
Proceedings of The 31st International Conference on Machine Learning 32, 10-18, 2014
1062014
Online learning to rank in stochastic click models
M Zoghi, T Tunys, M Ghavamzadeh, B Kveton, C Szepesvari, Z Wen
International Conference on Machine Learning, 4199-4208, 2017
742017
Copeland dueling bandits
M Zoghi, ZS Karnin, S Whiteson, M De Rijke
Advances in Neural Information Processing Systems, 307-315, 2015
722015
Contextual dueling bandits
M Dudík, K Hofmann, RE Schapire, A Slivkins, M Zoghi
Conference on Learning Theory, 563-587, 2015
552015
Mergerucb: A method for large-scale online ranker evaluation
M Zoghi, S Whiteson, M de Rijke
Proceedings of the Eighth ACM International Conference on Web Search and …, 2015
462015
Relative Confidence Sampling for Efficient On-Line Ranker Evaluation
M Zoghi, S Whiteson, M de Rijke, R Munos
46*
Advancements in Dueling Bandits.
Y Sui, M Zoghi, K Hofmann, Y Yue
IJCAI, 5502-5510, 2018
312018
Revisiting approximate metric optimization in the age of deep neural networks
S Bruch, M Zoghi, M Bendersky, M Najork
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
292019
Click-based hot fixes for underperforming torso queries
M Zoghi, T Tunys, L Li, D Jose, J Chen, CM Chin, M de Rijke
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
242016
BubbleRank: Safe online learning to re-rank via implicit click feedback
C Li, B Kveton, T Lattimore, I Markov, M de Rijke, C Szepesvári, M Zoghi
Uncertainty in Artificial Intelligence, 196-206, 2020
19*2020
The Gromov width of coadjoint orbits of compact lie groups
M Zoghi
University of Toronto, 2010
142010
Instance-dependent regret bounds for dueling bandits
A Balsubramani, Z Karnin, RE Schapire, M Zoghi
Conference on Learning Theory, 336-360, 2016
102016
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)
S Bavadekar, A Dai, J Davis, D Desfontaines, I Eckstein, K Everett, ...
arXiv preprint arXiv:2009.01265, 2020
72020
An effective orbifold groupoid is determined up to Morita equivalence by its underlying diffeological orbifold
Y Karshon, M Zoghi
preprint, 2008
52008
MergeDTS: A method for effective large-scale online ranker evaluation
C Li, I Markov, MD Rijke, M Zoghi
ACM Transactions on Information Systems (TOIS) 38 (4), 1-28, 2020
42020
Using confidence bounds for efficient on-line ranker evaluation
M Zoghi, S Whiteson, M de Rijke, R Munos
WSDM 14, 24, 2014
42014
Merge double Thompson sampling for large scale online ranker evaluation
C Li, I Markov, M de Rijke, M Zoghi
arXiv preprint arXiv:1812.04412, 2018
32018
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