Bo Dai

Peer Reviewed Publications

• Diffusion Controller: Framework, Algorithms and Parameterization
  Tong Yang, Moonkyung Ryu, Chih-wei Hsu, Guy Tennenholtz, Yuejie Chi, Craig Boutilier, Bo Dai
  International Conference on Machine Learning (ICML) 2026.
  [ Paper ]

• Representation Learning via Non-Contrastive Mutual Information
  Daniel Guo, Bernardo Avila Pires, Khimya Khetarpal, Dale Schuurmans, Bo Dai
  International Conference on Artificial Intelligence and Statistics (AISTATS) 2026. Spotlight
  [ Paper ]

• MLE-Smith: Scaling MLE Tasks with Automated Multi-agent Pipeline
  Rushi Qiang, Yuchen Zhuang, Anikait Singh, Percy Liang, Chao Zhang, Sherry Yang, Bo Dai
  International Conference on Learning Representations (ICLR) 2026.
  [ Paper ]

• Spectral Bellman Method: Unifying Representation and Exploration in RL
  Ofir Nabati, Shie Mannor, Bo Dai, Guy Tennenholtz
  International Conference on Learning Representations (ICLR) 2026.
  [ Paper ]

• AmorLIP: Efficient Language-Image Pretraining via Amortization
  Haotian Sun, Yitong Li, Yuchen Zhuang, Niao He, Hanjun Dai, Bo Dai
  Advances in Neural Information Processing Systems (NeurIPS) 2025.
  [ Paper ]

• MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering
  Rushi Qiang, Yuchen Zhuang, Yinghao Li, Dingu Sagar, Rongzhi Zhang, ChangHao Li, Ian Shu-Hei Wong, Sherry Yang, Percy Liang, Chao Zhang, Bo Dai
  Advances in Neural Information Processing Systems (NeurIPS) 2025.
  [ WebPages ][ Leaderboard ][ Paper ]

• Exploration from a Primal-Dual Lens: Value-Incentivized Actor-Critic Methods for Sample-Efficient Online RL
  Tong Yang, Bo Dai, Lin Xiao, Yuejie Chi
  Advances in Neural Information Processing Systems (NeurIPS) 2025.
  [ Paper ]

• Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs
  ChangHao Li, Yuchen Zhuang, Rushi Qiang, Haotian Sun, Hanjun Dai, Chao Zhang, Bo Dai
  Advances in Neural Information Processing Systems (NeurIPS) 2025.
  [ Paper ]

• Efficient Online Reinforcement Learning for Diffusion Policy
  Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai
  International Conference on Machine Learning (ICML) 2025.
  [ Paper ]

• Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF
  Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
  International Conference on Learning Representations (ICLR) 2025.
  [ Paper ]

• Diffusion Spectral Representation for Reinforcement Learning
  Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai
  Advances in Neural Information Processing Systems (NeurIPS) 2024.
  [ Paper ] [ Website ] [ Code ]

• BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models
  Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai
  International Conference on Machine Learning (ICML) 2024. Spotlight
  [ Paper ] [ Website ] [ Code ]

• Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning
  Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai
  International Conference on Machine Learning (ICML) 2024.
  [ Paper ] [ Website ] [ Code ]

• Learning Universal Policies via Text-Guided Video Generation
  Yilun Du*, Mengjiao Yang*, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel
  Advances in Neural Information Processing Systems (NeurIPS) 2023. Spotlight
  [ Paper ][ Blog ][ Website ]

• AdaPlanner: Adaptive Planning from Feedback with Language Models
  Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang
  Advances in Neural Information Processing Systems (NeurIPS) 2023.
  [ Paper ][ Code ]

• Stochastic Gradient Succeeds for Bandits
  Jincheng Mei*, Zixin Zhong*, Bo Dai, Alekh Agarwal, Csaba Szepesvari, Dale Schuurmans
  International Conference on Machine Learning (ICML) 2023.
  [ Paper ]