Bayesian Denoising: From MAP to MMSE Using Consistent Cycle Spinning. - Abbas Kazerouni; Ulugbek Kamilov; Emrah Bostan; Michael Unser (IEEE Signal Process. Lett., 2013)

Increasing capacity in massive MIMO cellular networks via small cells. - Abbas Kazerouni; Francisco Javier López-Martínez; Andrea Goldsmith (GLOBECOM Workshops, 2014)

Optimal online strategies for an energy harvesting system with Bernoulli energy recharges. - Abbas Kazerouni; Ayfer Özgür (WiOpt, 2015)

Conservative Contextual Linear Bandits. - Abbas Kazerouni; Mohammad Ghavamzadeh; Benjamin Van Roy (CoRR, 2016)

Conservative Contextual Linear Bandits. - Abbas Kazerouni; Mohammad Ghavamzadeh; Yasin Abbasi; Benjamin Van Roy (NIPS, 2017)

A Tutorial on Thompson Sampling. - Daniel Russo 001; Benjamin Van Roy; Abbas Kazerouni; Ian Osband (CoRR, 2017)

Learning to Price with Reference Effects. - Abbas Kazerouni; Benjamin Van Roy (CoRR, 2017)

A Tutorial on Thompson Sampling. - Daniel Russo 001; Benjamin Van Roy; Abbas Kazerouni; Ian Osband; Zheng Wen 002 (Found. Trends Mach. Learn., 2018)

Active Learning for Skewed Data Sets. - Abbas Kazerouni; Qi Zhao; Jing Xie 002; Sandeep Tata; Marc Najork (CoRR, 2020)

Multi-armed Bandits with Cost Subsidy. - Deeksha Sinha; Karthik Abinav Sankararama; Abbas Kazerouni; Vashist Avadhanula (CoRR, 2020)

Multi-Armed Bandits with Cost Subsidy. - Deeksha Sinha; Karthik Abinav Sankararaman; Abbas Kazerouni; Vashist Avadhanula (AISTATS, 2021)

BOW: First Real-World Demonstration of a Firewall-based Bayesian Optimization System for Wavelength Deployment. - Zhizhen Zhong; Manya Ghobadi; Maximilian Balandat; Sanjeevkumar Katti; Abbas Kazerouni; Jonathan Leach; Mark McKillop; Ying Zhang 022 (OFC, 2021)

Best arm identification in generalized linear bandits. - Abbas Kazerouni; Lawrence M. Wein (Oper. Res. Lett., 2021)

Practical Policy Optimization with Personalized Experimentation. - Mia Garrard; Hanson Wang; Ben Letham; Shaun Singh; Abbas Kazerouni; Sarah Tan; Zehui Wang; Yin Huang; Yichun Hu; Chad Zhou; Norm Zhou; Eytan Bakshy (CoRR, 2023)