Bo Dai

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 16

Top Topics

Partially Observed

Diffusion Models

Stochastic Dominance

Reinforcement Learning

Top Venues

Publications

Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
Beyond Expectations: Learning with Stochastic Dominance Made Practical. CoRR (2024)
Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models. CoRR (2024)
Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. EMNLP (Findings) (2023)
Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
Spectral Decomposition Representation for Reinforcement Learning. ICLR (2023)
Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai
Energy-based Predictive Representations for Partially Observed Reinforcement Learning. UAI (2023)
Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. CoRR (2023)
Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
Latent Variable Representation for Reinforcement Learning. ICLR (2023)
Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvári, Dale Schuurmans
Ordering-based Conditions for Global Convergence of Policy Gradient Methods. NeurIPS (2023)
Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
Score-based Continuous-time Discrete Diffusion Models. ICLR (2023)
Yilun Du, Sherry Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Josh Tenenbaum, Dale Schuurmans, Pieter Abbeel
Learning Universal Policies via Text-Guided Video Generation. NeurIPS (2023)
Lingkai Kong, Wenhao Mu, Jiaming Cui, Yuchen Zhuang, B. Aditya Prakash, Bo Dai, Chao Zhang
DF2: Distribution-Free Decision-Focused Learning. CoRR (2023)
Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvári, Dale Schuurmans
Stochastic Gradient Succeeds for Bandits. ICML (2023)
Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. CDC (2023)
Haoran Sun, Bo Dai, Charles Sutton, Dale Schuurmans, Hanjun Dai
Any-scale Balanced Samplers for Discrete Space. ICLR (2023)
Hongming Zhang, Tongzheng Ren, Chenjun Xiao, Dale Schuurmans, Bo Dai
Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning. CoRR (2023)
Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang
AdaPlanner: Adaptive Planning from Feedback with Language Models. NeurIPS (2023)