Yue Guo
2 indexed papers
Recent (6 mo)
2With code
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226
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NLP×1AI×1ML×1Crypto×1
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2026
Revisiting ML Training under Fully Homomorphic Encryption: Convergence Guarantees, Differential Privacy, and Efficient Algorithms
The paper provides the first theoretical convergence analysis for machine learning training under fully homomorphic encryption combined with differential privacy, improving efficiency and scalability.
PatchWorld: Gradient-Free Optimization of Executable World Models
PatchWorld introduces a gradient-free framework to create executable Python world models from offline trajectories, achieving high planning scores by inducing symbolic belief-state programs.
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Papers
cs.CLcs.AIRecentMay 29, 2026
PatchWorld: Gradient-Free Optimization of Executable World Models
Jiaxin Bai, Yue Guo, Yifei Dong, Jiaxuan Xiong +12 more
PatchWorld introduces a gradient-free framework to create executable Python world models from offline trajectories, achieving high planning scores by inducing symbolic belief-state programs.
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cs.LGcs.CRRecentMay 27, 2026