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Mohammad Ghavamzadeh

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Parameter and Feature Selection in Stochastic Linear Bandits

Jun 09, 2021
Ahmadreza Moradipari, Yasin Abbasi-Yadkori, Mahnoosh Alizadeh, Mohammad Ghavamzadeh

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Fixed-Budget Best-Arm Identification in Contextual Bandits: A Static-Adaptive Algorithm

Jun 09, 2021
MohammadJavad Azizi, Branislav Kveton, Mohammad Ghavamzadeh

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Adaptive Sampling for Minimax Fair Classification

Mar 01, 2021
Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi

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Non-Stationary Latent Bandits

Dec 01, 2020
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier

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Soft-Robust Algorithms for Handling Model Misspecification

Nov 30, 2020
Elita A. Lobo, Mohammad Ghavamzadeh, Marek Petrik

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A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

Nov 17, 2020
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Xiaochun Cao, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi

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Variance-Reduced Off-Policy Memory-Efficient Policy Search

Sep 14, 2020
Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu

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Finite-Sample Analysis of Proximal Gradient TD Algorithms

Jul 03, 2020
Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik

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