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Mohammad Ghavamzadeh

7 papers at tracked venues · 6 at CORE A* · active 2024–2026

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Venues

ICLR ×3AAAI ×1AISTATS ×1ICML ×1NeurIPS ×1

Frequent coauthors

Marek Petrik
×2
Zhuotong Chen
×1
Fang Liu
×1
Xuan Zhu
×1
Haozhu Wang
×1
Jiayu Li
×1
Yanjun Qi
×1
Rohan Deb
×1
Arindam Banerjee
×1
Soumya Suvra Ghosal
×1
Souradip Chakraborty
×1
Avinash Reddy
×1

Papers

  1. Preference Optimization via Contrastive Divergence: Your Policy Is Secretly an NLL Estimator
    AAAI 2026 ·
    Zhuotong Chen
    ,
    Fang Liu
    ,
    Xuan Zhu
    ,
    Haozhu Wang
    ,
    Jiayu Li
    ,
    Yanjun Qi
    , Mohammad Ghavamzadeh
  2. Conservative Contextual Bandits: Beyond Linear Representations
    ICLR 2025 ·
    Rohan Deb
    , Mohammad Ghavamzadeh,
    Arindam Banerjee
  3. Does Thinking More Always Help? Mirage of Test-Time Scaling in Reasoning Models
    NeurIPS 2025 ·
    Soumya Suvra Ghosal
    ,
    Souradip Chakraborty
    ,
    Avinash Reddy
    ,
    Yifu Lu
    ,
    Mengdi Wang
    ,
    Dinesh Manocha
    ,
    Furong Huang
    , Mohammad Ghavamzadeh,
    Amrit Singh Bedi
  4. Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis
    AISTATS 2025 ·
    Jia Lin Hau
    ,
    Erick Delage
    ,
    Esther Derman
    , Mohammad Ghavamzadeh,
    Marek Petrik
  5. Bayesian Regret Minimization in Offline Bandits
    ICML 2024 ·
    Marek Petrik
    ,
    Guy Tennenholtz
    , Mohammad Ghavamzadeh
  6. Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
    ICLR 2024 ·
    Kyuyoung Kim
    ,
    Jongheon Jeong
    ,
    Minyong An
    , Mohammad Ghavamzadeh,
    Krishnamurthy Dj Dvijotham
    ,
    Jinwoo Shin
    ,
    Kimin Lee
  7. Maximum Entropy Model Correction in Reinforcement Learning
    ICLR 2024 ·
    Amin Rakhsha
    ,
    Mete Kemertas
    , Mohammad Ghavamzadeh,
    Amir-massoud Farahmand