Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations. - Nando de Freitas; Alexander J. Smola; Masrour Zoghi (ICML, 2012)

Regret Bounds for Deterministic Gaussian Process Bandits - Nando de Freitas; Alexander J. Smola; Masrour Zoghi (CoRR, 2012)

Bayesian Optimization in High Dimensions via Random Embeddings. - Ziyu Wang 001; Masrour Zoghi; Frank Hutter; David Matheson; Nando de Freitas (IJCAI, 2013)

Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem. - Masrour Zoghi; Shimon Whiteson; Rémi Munos; Maarten de Rijke (ICML, 2014)

Relative confidence sampling for efficient on-line ranker evaluation. - Masrour Zoghi; Shimon Whiteson; Maarten de Rijke; Rémi Munos (WSDM, 2014)

Contextual Dueling Bandits. - Miroslav Dudík; Katja Hofmann; Robert E. Schapire; Aleksandrs Slivkins; Masrour Zoghi (COLT, 2015)

Copeland Dueling Bandits. - Masrour Zoghi; Zohar S. Karnin; Shimon Whiteson; Maarten de Rijke (NIPS, 2015)

MergeRUCB: A Method for Large-Scale Online Ranker Evaluation. - Masrour Zoghi; Shimon Whiteson; Maarten de Rijke (WSDM, 2015)

Instance-dependent Regret Bounds for Dueling Bandits. - Akshay Balsubramani; Zohar S. Karnin; Robert E. Schapire; Masrour Zoghi (COLT, 2016)

Click-based Hot Fixes for Underperforming Torso Queries. - Masrour Zoghi; Tomás Tunys; Lihong Li 001; Damien Jose; Junyan Chen; Chun Ming Chin; Maarten de Rijke (SIGIR, 2016)

Bayesian Optimization in a Billion Dimensions via Random Embeddings. - Ziyu Wang 001; Frank Hutter; Masrour Zoghi; David Matheson; Nando de Freitas (J. Artif. Intell. Res., 2016)

Online Learning to Rank in Stochastic Click Models. - Masrour Zoghi; Tomás Tunys; Mohammad Ghavamzadeh; Branislav Kveton; Csaba Szepesvári; Zheng Wen 002 (ICML, 2017)

Advancements in Dueling Bandits. - Yanan Sui; Masrour Zoghi; Katja Hofmann; Yisong Yue (IJCAI, 2018)

BubbleRank: Safe Online Learning to Rerank. - Branislav Kveton; Chang Li 003; Tor Lattimore; Ilya Markov; Maarten de Rijke; Csaba Szepesvári; Masrour Zoghi (CoRR, 2018)

Merge Double Thompson Sampling for Large Scale Online Ranker Evaluation. - Chang Li 003; Ilya Markov; Maarten de Rijke; Masrour Zoghi (CoRR, 2018)

Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks. - Sebastian Bruch 001; Masrour Zoghi; Michael Bendersky; Marc Najork (SIGIR, 2019)

BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. - Chang Li 003; Branislav Kveton; Tor Lattimore; Ilya Markov; Maarten de Rijke; Csaba Szepesvári; Masrour Zoghi (UAI, 2019)

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; et al. (CoRR, 2020)

MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation. - Chang Li 003; Ilya Markov; Maarten de Rijke; Masrour Zoghi (ACM Trans. Inf. Syst., 2020)

On the Value of Prior in Online Learning to Rank. - Branislav Kveton; Ofer Meshi; Masrour Zoghi; Zhen Qin (AISTATS, 2022)

Overcoming Prior Misspecification in Online Learning to Rank. - Javad Azizi; Ofer Meshi; Masrour Zoghi; Maryam Karimzadehgan (AISTATS, 2023)

Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation. - Li Ding; Masrour Zoghi; Guy Tennenholtz; Maryam Karimzadehgan (CoRR, 2023)

Density-based User Representation through Gaussian Process Regression for Multi-interest Personalized Retrieval. - Haolun Wu; Ofer Meshi; Masrour Zoghi; Fernando Diaz 001; Xue Liu 001; Craig Boutilier; Maryam Karimzadehgan (CoRR, 2023)

Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval. - Haolun Wu; Ofer Meshi; Masrour Zoghi; Fernando Diaz 001; Xue (Steve) Liu; Craig Boutilier; Maryam Karimzadehgan (NeurIPS, 2024)