Masrour Zoghi

According to our database, Masrour Zoghi authored at least 23 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval.

Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan

CoRR, 2023

Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation.

Li Ding, Masrour Zoghi, Guy Tennenholtz, Maryam Karimzadehgan

CoRR, 2023

Overcoming Prior Misspecification in Online Learning to Rank.

Javad Azizi, Ofer Meshi, Masrour Zoghi, Maryam Karimzadehgan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

On the Value of Prior in Online Learning to Rank.

Branislav Kveton, Ofer Meshi, Masrour Zoghi, Zhen Qin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation.

Chang Li, Ilya Markov, Maarten de Rijke, Masrour Zoghi

ACM Trans. Inf. Syst., 2020

Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0).

Shailesh Bavadekar, Andrew M. Dai, John Davis, Damien Desfontaines, Ilya Eckstein, Katie Everett, Alex Fabrikant, Gerardo Flores, Evgeniy Gabrilovich, Krishna Gadepalli, Shane Glass, Rayman Huang, Chaitanya Kamath, Dennis Kraft, Akim Kumok, Hinali Marfatia, Yael Mayer, Benjamin Miller, Adam Pearce, Irippuge Milinda Perera, Venky Ramachandran, Karthik Raman, Thomas Roessler, Izhak Shafran, Tomer Shekel, Charlotte Stanton, Jacob Stimes, Mimi Sun, Gregory Wellenius, Masrour Zoghi

CoRR, 2020

2019

BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback.

Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks.

Sebastian Bruch, Masrour Zoghi, Michael Bendersky, Marc Najork

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation.

Chang Li, Ilya Markov, Maarten de Rijke, Masrour Zoghi

CoRR, 2018

BubbleRank: Safe Online Learning to Rerank.

Branislav Kveton, Chang Li, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvári, Masrour Zoghi

CoRR, 2018

Advancements in Dueling Bandits.

Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Online Learning to Rank in Stochastic Click Models.

Masrour Zoghi, Tomás Tunys, Mohammad Ghavamzadeh, Branislav Kveton, Csaba Szepesvári, Zheng Wen

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Bayesian Optimization in a Billion Dimensions via Random Embeddings.

Ziyu Wang, Frank Hutter, Masrour Zoghi, David Matheson, Nando de Freitas

J. Artif. Intell. Res., 2016

Click-based Hot Fixes for Underperforming Torso Queries.

Masrour Zoghi, Tomás Tunys, Lihong Li, Damien Jose, Junyan Chen, Chun Ming Chin, Maarten de Rijke

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Instance-dependent Regret Bounds for Dueling Bandits.

Akshay Balsubramani, Zohar S. Karnin, Robert E. Schapire, Masrour Zoghi

Proceedings of the 29th Conference on Learning Theory, 2016

2015

MergeRUCB: A Method for Large-Scale Online Ranker Evaluation.

Masrour Zoghi, Shimon Whiteson, Maarten de Rijke

Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Copeland Dueling Bandits.

Masrour Zoghi, Zohar S. Karnin, Shimon Whiteson, Maarten de Rijke

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Contextual Dueling Bandits.

Miroslav Dudík, Katja Hofmann, Robert E. Schapire, Aleksandrs Slivkins, Masrour Zoghi

Proceedings of The 28th Conference on Learning Theory, 2015

2014

Relative confidence sampling for efficient on-line ranker evaluation.

Masrour Zoghi, Shimon Whiteson, Maarten de Rijke, Rémi Munos

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem.

Masrour Zoghi, Shimon Whiteson, Rémi Munos, Maarten de Rijke

Proceedings of the 31th International Conference on Machine Learning, 2014

2013

Bayesian Optimization in High Dimensions via Random Embeddings.

Ziyu Wang, Masrour Zoghi, Frank Hutter, David Matheson, Nando de Freitas

Proceedings of the IJCAI 2013, 2013

2012

Regret Bounds for Deterministic Gaussian Process Bandits

Nando de Freitas, Alexander J. Smola, Masrour Zoghi

CoRR, 2012

Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations.

Nando de Freitas, Alexander J. Smola, Masrour Zoghi

Proceedings of the 29th International Conference on Machine Learning, 2012