Mohammad Ghavamzadeh

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

Venues

Active years

2001–2026

Best venue rank

Where they publish

Papers

72 indexed papers, newest first.

Year	Venue	Title	Authors
2026	AAAI	Preference Optimization via Contrastive Divergence: Your Policy Is Secretly an NLL Estimator.	Zhuotong Chen, Fang Liu, Xuan Zhu, Haozhu Wang, Jiayu Li, Yanjun Qi, Mohammad Ghavamzadeh
2025	AISTATS	Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis.	Jia Lin Hau, Erick Delage, Esther Derman, Mohammad Ghavamzadeh, Marek Petrik
2025	ICLR	Conservative Contextual Bandits: Beyond Linear Representations.	Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee
2024	ICLR	Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models.	Kyuyoung Kim, Jongheon Jeong, Minyong An, Mohammad Ghavamzadeh, Krishnamurthy Dj Dvijotham, Jinwoo Shin, Kimin Lee
2024	ICLR	Maximum Entropy Model Correction in Reinforcement Learning.	Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand
2024	ICML	Bayesian Regret Minimization in Offline Bandits.	Marek Petrik, Guy Tennenholtz, Mohammad Ghavamzadeh
2023	AAAI	Meta-Learning for Simple Regret Minimization.	Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh, Sumeet Katariya
2023	AISTATS	Multiple-policy High-confidence Policy Evaluation.	Christoph Dann, Mohammad Ghavamzadeh, Teodor V. Marinov
2023	AISTATS	Entropic Risk Optimization in Discounted MDPs.	Jia Lin Hau, Marek Petrik, Mohammad Ghavamzadeh
2023	ICLR	A Mixture-of-Expert Approach to RL-based Dialogue Management.	Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, Dhawal Gupta, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier
2023	ICML	Multi-Task Off-Policy Learning from Bandit Feedback.	Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh
2022	AISTATS	Hierarchical Bayesian Bandits.	Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh
2022	AISTATS	Thompson Sampling with a Mixture Prior.	Joey Hong, Branislav Kveton, Manzil Zaheer, Mohammad Ghavamzadeh, Craig Boutilier
2022	ICLR	Mirror Descent Policy Optimization.	Manan Tomar, Lior Shani, Yonathan Efroni, Mohammad Ghavamzadeh
2022	ICML	Deep Hierarchy in Bandits.	Joey Hong, Branislav Kveton, Sumeet Katariya, Manzil Zaheer, Mohammad Ghavamzadeh
2022	ICML	Feature and Parameter Selection in Stochastic Linear Bandits.	Ahmadreza Moradipari, Berkay Turan, Yasin Abbasi-Yadkori, Mahnoosh Alizadeh, Mohammad Ghavamzadeh
2022	IJCAI	Fixed-Budget Best-Arm Identification in Structured Bandits.	Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh
2022	ISIT	Multi-Environment Meta-Learning in Stochastic Linear Bandits.	Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh, Christos Thrampoulidis, Mahnoosh Alizadeh
2021	AAAI	Deep Bayesian Quadrature Policy Optimization.	Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue
2021	AISTATS	Stochastic Bandits with Linear Constraints.	Aldo Pacchiano, Mohammad Ghavamzadeh, Peter L. Bartlett, Heinrich Jiang
2021	ICLR	Control-Aware Representations for Model-based Reinforcement Learning.	Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh
2021	ICML	PID Accelerated Value Iteration Algorithm.	Amir Massoud Farahmand, Mohammad Ghavamzadeh
2021	IJCAI	Variational Model-based Policy Optimization.	Yinlam Chow, Brandon Cui, Moonkyung Ryu, Mohammad Ghavamzadeh
2020	AAAI	Improved Algorithms for Conservative Exploration in Bandits.	Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta
2020	AISTATS	Conservative Exploration in Reinforcement Learning.	Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta
2020	AISTATS	Randomized Exploration in Generalized Linear Bandits.	Branislav Kveton, Manzil Zaheer, Csaba Szepesvri, Lihong Li, Mohammad Ghavamzadeh, Craig Boutilier
2020	CoRL	Safe Policy Learning for Continuous Control.	Yinlam Chow, Ofir Nachum, Aleksandra Faust, Edgar A. Duez-Guzmn, Mohammad Ghavamzadeh
2020	ICLR	Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control.	Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
2020	ICML	Adaptive Sampling for Estimating Probability Distributions.	Shubhanshu Shekhar, Tara Javidi, Mohammad Ghavamzadeh
2020	ICML	Predictive Coding for Locally-Linear Control.	Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung H. Bui
2020	ICML	Multi-step Greedy Reinforcement Learning Algorithms.	Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh
2020	ISIT	Active Learning for Classification with Abstention.	Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi
2020	UAI	Active Model Estimation in Markov Decision Processes.	Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
2019	AISTATS	Optimizing over a Restricted Policy Class in MDPs.	Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis
2019	AISTATS	Risk-Sensitive Generative Adversarial Imitation Learning.	Jonathan Lacotte, Mohammad Ghavamzadeh, Yinlam Chow, Marco Pavone
2019	ICML	Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits.	Branislav Kveton, Csaba Szepesvri, Sharan Vaswani, Zheng Wen, Tor Lattimore, Mohammad Ghavamzadeh
2019	IJCAI	Perturbed-History Exploration in Stochastic Multi-Armed Bandits.	Branislav Kveton, Csaba Szepesvri, Mohammad Ghavamzadeh, Craig Boutilier
2019	UAI	Perturbed-History Exploration in Stochastic Linear Bandits.	Branislav Kveton, Csaba Szepesvri, Mohammad Ghavamzadeh, Craig Boutilier
2018	AISTATS	Robust Locally-Linear Controllable Embedding.	Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi
2018	ICML	Path Consistency Learning in Tsallis Entropy Regularized MDPs.	Yinlam Chow, Ofir Nachum, Mohammad Ghavamzadeh
2018	ICML	More Robust Doubly Robust Off-policy Evaluation.	Mehrdad Farajtabar, Yinlam Chow, Mohammad Ghavamzadeh
2018	ISAIM	PAC Bandits with Risk Constraints.	Yahel David, Balzs Szrnyi, Mohammad Ghavamzadeh, Shie Mannor, Nahum Shimkin
2017	AAAI	Automated Data Cleansing through Meta-Learning.	Ian Gemp, Georgios Theocharous, Mohammad Ghavamzadeh
2017	AAAI	Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing.	Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill
2017	AISTATS	Sequential Multiple Hypothesis Testing with Type I Error Control.	Alan Malek, Sumeet Katariya, Yinlam Chow, Mohammad Ghavamzadeh
2017	ICML	Active Learning for Accurate Estimation of Linear Models.	Carlos Riquelme, Mohammad Ghavamzadeh, Alessandro Lazaric
2017	ICML	Bottleneck Conditional Density Estimation.	Rui Shu, Hung Hai Bui, Mohammad Ghavamzadeh
2017	ICML	Model-Independent Online Learning for Influence Maximization.	Sharan Vaswani, Branislav Kveton, Zheng Wen, Mohammad Ghavamzadeh, Laks V. S. Lakshmanan, Mark Schmidt
2017	ICML	Online Learning to Rank in Stochastic Click Models.	Masrour Zoghi, Toms Tunys, Mohammad Ghavamzadeh, Branislav Kveton, Csaba Szepesvri, Zheng Wen
2016	AISTATS	Improved Learning Complexity in Combinatorial Pure Exploration Bandits.	Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh, Ronald Ortner, Peter L. Bartlett
2016	IJCAI	Proximal Gradient Temporal Difference Learning Algorithms.	Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2015	AAAI	High-Confidence Off-Policy Evaluation.	Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh
2015	ICML	High Confidence Policy Improvement.	Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh
2015	IJCAI	Maximum Entropy Semi-Supervised Inverse Reinforcement Learning.	Julien Audiffren, Michal Valko, Alessandro Lazaric, Mohammad Ghavamzadeh
2015	IJCAI	Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees.	Georgios Theocharous, Philip S. Thomas, Mohammad Ghavamzadeh
2015	WWW	Ad Recommendation Systems for Life-Time Value Optimization.	Georgios Theocharous, Philip S. Thomas, Mohammad Ghavamzadeh
2015	UAI	Finite-Sample Analysis of Proximal Gradient TD Algorithms.	Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
2013	ICML	A Generalized Kernel Approach to Structured Output Learning.	Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux
2013	ICML	Cost-sensitive Multiclass Classification Risk Bounds.	Bernardo vila Pires, Csaba Szepesvri, Mohammad Ghavamzadeh
2012	AAAI	Conservative and Greedy Approaches to Classification-Based Policy Iteration.	Mohammad Ghavamzadeh, Alessandro Lazaric
2012	ICML	A Dantzig Selector Approach to Temporal Difference Learning.	Matthieu Geist, Bruno Scherrer, Alessandro Lazaric, Mohammad Ghavamzadeh
2012	ICML	Approximate Modified Policy Iteration.	Bruno Scherrer, Victor Gabillon, Mohammad Ghavamzadeh, Matthieu Geist
2011	ALT	Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits.	Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh, Rmi Munos, Peter Auer
2011	ICML	Classification-based Policy Iteration with a Critic.	Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh, Bruno Scherrer
2011	ICML	Finite-Sample Analysis of Lasso-TD.	Mohammad Ghavamzadeh, Alessandro Lazaric, Rmi Munos, Matthew W. Hoffman
2010	ICML	Bayesian Multi-Task Reinforcement Learning.	Alessandro Lazaric, Mohammad Ghavamzadeh
2010	ICML	Analysis of a Classification-based Policy Iteration Algorithm.	Alessandro Lazaric, Mohammad Ghavamzadeh, Rmi Munos
2010	ICML	Finite-Sample Analysis of LSTD.	Alessandro Lazaric, Mohammad Ghavamzadeh, Rmi Munos
2007	ICML	Bayesian actor-critic algorithms.	Mohammad Ghavamzadeh, Yaakov Engel
2003	ICML	Hierarchical Policy Gradient Algorithms.	Mohammad Ghavamzadeh, Sridhar Mahadevan
2002	ICML	Hierarchically Optimal Average Reward Reinforcement Learning.	Mohammad Ghavamzadeh, Sridhar Mahadevan
2001	ICML	Continuous-Time Hierarchical Reinforcement Learning.	Mohammad Ghavamzadeh, Sridhar Mahadevan