MG
Mohammad Ghavamzadeh
cs.LGstat.MLcs.AImath.OCcs.SYeess.SYcs.CLcs.CVcs.IRcs.DS
On Valency
published · living versionsW_kb5efy95·v1 · currentpublished
Conservative Dueling Bandits: Preference Learning under Baseline Constraints
with Rohan Deb, Arindam Banerjee
1 version
W_d8cbc6rs·v1published
W_9cba8n4v·v1published
Preprints & journals
94 papers in the corpus · 2012–2026Nash Equilibrium Text: A Game-Theoretic Decoding Framework for Text Generation2610.05817v1 · Alireza Jafari, Arman Adibi, Mohammad Ghavamzadeh et al.2026 · 0 citationsarXiv
Score-Calibrated Flow for Sampling from Unnormalized Densities with Applications to Generative Online Reinforcement Learning2610.04696v1 · Zeyang Li, Yunan Wang, Risheek Garrepalli et al.2026 · 0 citationsarXiv
Alleviating Hallucination in Reasoning Tasks with Training-Free Uncertainty-Guided Steering2609.38962v1 · Litian Liu, Qiqi Hou, Yubing Jian et al.2026 · 0 citationsarXiv
Bayesian policy gradient and actor-critic algorithms2604.27563v1 · Mohammad Ghavamzadeh, Yaakov Engel, Michal Valko2026 · 31 citationsJournal of Machine Learning Research 17(66):1-53, 2016
Maximum Entropy Semi-Supervised Inverse Reinforcement Learning2604.20074v1 · Julien Audiffren, Michal Valko, Alessandro Lazaric et al.2026 · 18 citationsarXiv
Synthetic Dialogue Generation for Interactive Conversational Elicitation & Recommendation (ICER)2510.02331v1 · Moonkyung Ryu, Chih-Wei Hsu, Yinlam Chow et al.2025 · 0 citationsarXiv
Does Thinking More always Help? Mirage of Test-Time Scaling in Reasoning Models2506.04210v3 · Soumya Suvra Ghosal, Souradip Chakraborty, Avinash Reddy et al.2025 · 1 citationarXiv
Ordering-based Conditions for Global Convergence of Policy Gradient Methods2504.02130v1 · Jincheng Mei, Bo Dai, Alekh Agarwal et al.2025 · 0 citationsarXiv
C2-DPO: Constrained Controlled Direct Preference Optimization2502.17507v2 · Kavosh Asadi, Julien Han, Idan Pipano et al.2025 · 0 citationsarXiv
Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an NLL Estimator2502.04567v1 · Zhuotong Chen, Fang Liu, Xuan Zhu et al.2025 · 1 citationarXiv
A Review of Deep Learning for Video Captioning.40030799 · Abdar, Moloud, Kollati, Meenakshi, Kuraparthi, Swaraja et al.2025 · 49 citationsIEEE transactions on pattern analysis and machine intelligence. 2024;PP
Conservative Contextual Bandits: Beyond Linear Representations2412.06165v1 · Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee2024 · 0 citationsarXiv
Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis2410.24128v1 · Jia Lin Hau, Erick Delage, Esther Derman et al.2024 · 0 citationsarXiv
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models2404.01863v1 · Kyuyoung Kim, Jongheon Jeong, Minyong An et al.2024 · 0 citationsarXiv
Contextual Bandits with Stage-wise Constraints2401.08016v2 · Aldo Pacchiano, Mohammad Ghavamzadeh, Peter Bartlett2024 · 0 citationsarXiv
Maximum Entropy Model Correction in Reinforcement Learning2311.17855v1 · Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh et al.2023 · 0 citationsarXiv
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage2310.18434v1 · Kishan Panaganti, Zaiyan Xu, Dileep Kalathil et al.2023 · 0 citationsarXiv
Preference Elicitation with Soft Attributes in Interactive Recommendation2311.02085v1 · Erdem Biyik, Fan Yao, Yinlam Chow et al.2023 · 0 citationsarXiv
Factual and Personalized Recommendations using Language Models and Reinforcement Learning2310.06176v1 · Jihwan Jeong, Yinlam Chow, Guy Tennenholtz et al.2023 · 0 citationsarXiv
Bayesian Regret Minimization in Offline Bandits2306.01237v3 · Marek Petrik, Guy Tennenholtz, Mohammad Ghavamzadeh2023 · 0 citationsInternational Conference on Machine Learning, 2024
Aligning Text-to-Image Models using Human Feedback2302.12192v1 · Kimin Lee, Hao Liu, Moonkyung Ryu et al.2023 · 51 citationsarXiv
Multi-Task Off-Policy Learning from Bandit Feedback2212.04720v1 · Joey Hong, Branislav Kveton, Sumeet Katariya et al.2022 · 2 citationsarXiv
Operator Splitting Value Iteration2211.13937v1 · Amin Rakhsha, Andrew Wang, Mohammad Ghavamzadeh et al.2022 · 3 citationsarXiv
RASR: Risk-Averse Soft-Robust MDPs with EVaR and Entropic Risk2209.04067v2 · Jia Lin Hau, Marek Petrik, Mohammad Ghavamzadeh et al.2022 · 2 citationsArtificial Intelligence and Statistics (AISTATS), 2023
Reinforcement Learning of Multi-Domain Dialog Policies Via Action Embeddings2207.00468v1 · Jorge A. Mendez, Alborz Geramifard, Mohammad Ghavamzadeh et al.2022 · 5 citationsarXiv
A Mixture-of-Expert Approach to RL-based Dialogue Management2206.00059v1 · Yinlam Chow, Aza Tulepbergenov, Ofir Nachum et al.2022 · 3 citationsarXiv
Multi-Environment Meta-Learning in Stochastic Linear Bandits2205.06326v1 · Ahmadreza Moradipari, Mohammad Ghavamzadeh, Taha Rajabzadeh et al.2022 · 0 citationsIEEE International Symposium on Information Theory (ISIT), 2022
Collaborative Multi-agent Stochastic Linear Bandits2205.06331v1 · Ahmadreza Moradipari, Mohammad Ghavamzadeh, Mahnoosh Alizadeh2022 · 5 citationsAmerican Control Conference (ACC), 2022
Efficient Risk-Averse Reinforcement Learning2205.05138v2 · Ido Greenberg, Yinlam Chow, Mohammad Ghavamzadeh et al.2022 · 15 citationsarXiv
Meta-Learning for Simple Regret Minimization2202.12888v2 · Mohammadjavad Azizi, Branislav Kveton, Mohammad Ghavamzadeh et al.2022 · 3 citationsarXiv
Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms2202.13001v6 · MohammadJavad Azizi, Thang Duong, Yasin Abbasi-Yadkori et al.2022 · 1 citationarXiv
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors2202.02830v3 · Christina Gopfert, Alex Haig, Yinlam Chow et al.2022 · 4 citationsarXiv
Deep Hierarchy in Bandits2202.01454v1 · Joey Hong, Branislav Kveton, Sumeet Katariya et al.2022 · 5 citationsarXiv
Hierarchical Bayesian Bandits2111.06929v2 · Joey Hong, Branislav Kveton, Manzil Zaheer et al.2021 · 8 citationsarXiv
Thompson Sampling with a Mixture Prior2106.05608v2 · Joey Hong, Branislav Kveton, Manzil Zaheer et al.2021 · 3 citationsarXiv
Fixed-Budget Best-Arm Identification in Structured Bandits2106.04763v8 · Mohammad Javad Azizi, Branislav Kveton, Mohammad Ghavamzadeh2021 · 3 citationsarXiv
Feature and Parameter Selection in Stochastic Linear Bandits2106.05378v3 · Ahmadreza Moradipari, Berkay Turan, Yasin Abbasi-Yadkori et al.2021 · 1 citationInternational Conference on Machine Learning, 2022
Adaptive Sampling for Minimax Fair Classification2103.00755v2 · Shubhanshu Shekhar, Greg Fields, Mohammad Ghavamzadeh et al.2021 · 15 citationsarXiv
Non-Stationary Latent Bandits2012.00386v1 · Joey Hong, Branislav Kveton, Manzil Zaheer et al.2020 · 3 citationsarXiv
Soft-Robust Algorithms for Batch Reinforcement Learning2011.14495v2 · Elita A. Lobo, Mohammad Ghavamzadeh, Marek Petrik2020 · 0 citationsarXiv
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges2011.06225v4 · Moloud Abdar, Farhad Pourpanah, Sadiq Hussain et al.2020 · 2,742 citations2021
Variance-Reduced Off-Policy Memory-Efficient Policy Search2009.06548v1 · Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh et al.2020 · 4 citationsarXiv
Deep Bayesian Quadrature Policy Optimization2006.15637v3 · Akella Ravi Tej, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh et al.2020 · 3 citationsarXiv
Control-Aware Representations for Model-based Reinforcement Learning2006.13408v1 · Brandon Cui, Yinlam Chow, Mohammad Ghavamzadeh2020 · 8 citationsarXiv
Stochastic Bandits with Linear Constraints2006.10185v1 · Aldo Pacchiano, Mohammad Ghavamzadeh, Peter Bartlett et al.2020 · 25 citationsarXiv
Variational Model-based Policy Optimization2006.05443v2 · Yinlam Chow, Brandon Cui, MoonKyung Ryu et al.2020 · 5 citationsarXiv
Neural Lyapunov Redesign2006.03947v2 · Arash Mehrjou, Mohammad Ghavamzadeh, Bernhard Scholkopf2020 · 3 citationsarXiv
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity2006.03976v1 · Bo Liu, Ian Gemp, Mohammad Ghavamzadeh et al.2020 · 6 citationsarXiv
Finite-Sample Analysis of Proximal Gradient TD Algorithms2006.14364v2 · Bo Liu, Ji Liu, Mohammad Ghavamzadeh et al.2020 · 76 citationsarXiv
Mirror Descent Policy Optimization2005.09814v5 · Manan Tomar, Lior Shani, Yonathan Efroni et al.2020 · 23 citationsarXiv
Career total: 201 works. 94 are in this corpus.Showing the 50 most recent.
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