Masrour Zoghi
Masrour Zoghi
Google Research
Verified email at - Homepage
Cited by
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Bayesian Optimization in High Dimensions via Random Embeddings.
Z Wang, M Zoghi, F Hutter, D Matheson, N De Freitas
IJCAI, 1778-1784, 2013
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
Exponential regret bounds for Gaussian process bandits with deterministic observations
N De Freitas, A Smola, M Zoghi
arXiv preprint arXiv:1206.6457, 2012
Relative upper confidence bound for the k-armed dueling bandit problem
M Zoghi, S Whiteson, R Munos, M Rijke
International conference on machine learning, 10-18, 2014
Copeland dueling bandits
M Zoghi, Z Karnin, S Whiteson, M De Rijke
arXiv preprint arXiv:1506.00312, 2015
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
Contextual dueling bandits
M Dudík, K Hofmann, RE Schapire, A Slivkins, M Zoghi
Conference on Learning Theory, 563-587, 2015
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
Relative confidence sampling for efficient on-line ranker evaluation
M Zoghi, SA Whiteson, M De Rijke, R Munos
Proceedings of the 7th ACM international conference on Web search and data …, 2014
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
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
Advancements in Dueling Bandits.
Y Sui, M Zoghi, K Hofmann, Y Yue
IJCAI, 5502-5510, 2018
The Gromov width of coadjoint orbits of compact Lie groups
M Zoghi
University of Toronto, 2010
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
Regret bounds for deterministic gaussian process bandits
N de Freitas, A Smola, M Zoghi
arXiv preprint arXiv:1203.2177, 2012
Instance-dependent regret bounds for dueling bandits
A Balsubramani, Z Karnin, RE Schapire, M Zoghi
Conference on Learning Theory, 336-360, 2016
An effective orbifold groupoid is determined up to Morita equivalence by its underlying diffeological orbifold
Y Karshon, M Zoghi
preprint, 2008
Using confidence bounds for efficient on-line ranker evaluation
M Zoghi, S Whiteson, M de Rijke, R Munos
WSDM 14, 24, 2014
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
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
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