A cost-utility analysis of lung cancer screening and the additional benefits of incorporating smoking cessation interventions von Villanti, Andrea C, Jiang, Yiding, Abrams, David B, Pyenson, Bruce S

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A study of cross-border E-commerce research trends: Based on knowledge mapping and literature analysis von Chen, Yongfeng, Li, Mengya, Song, Jiajie, Ma, Xueli, Jiang, Yiding, Wu, Sainan, Chen, Guan Lin

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Language models are weak learners von Manikandan, Hariharan, Jiang, Yiding, Kolter, J Zico

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On the Importance of Exploration for Generalization in Reinforcement Learning von Jiang, Yiding, Kolter, J. Zico, Raileanu, Roberta

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Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift von Baek, Christina, Jiang, Yiding, Raghunathan, Aditi, Kolter, Zico

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Assessing Generalization of SGD via Disagreement von Jiang, Yiding, Nagarajan, Vaishnavh, Baek, Christina, Kolter, J. Zico

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Language models are weak learners von Hariharan Manikandan, Jiang, Yiding, Kolter, J Zico

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On the Importance of Exploration for Generalization in Reinforcement Learning von Jiang, Yiding, Kolter, J Zico, Raileanu, Roberta

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Neural Functional Transformers von Zhou, Allan, Yang, Kaien, Jiang, Yiding, Burns, Kaylee, Xu, Winnie, Sokota, Samuel, Kolter, J. Zico, Finn, Chelsea

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Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation von He, Yutong, Robey, Alexander, Murata, Naoki, Jiang, Yiding, Williams, Joshua Nathaniel, Pappas, George J, Hassani, Hamed, Mitsufuji, Yuki, Salakhutdinov, Ruslan, Kolter, J. Zico

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Permutation Equivariant Neural Functionals von Zhou, Allan, Yang, Kaien, Burns, Kaylee, Cardace, Adriano, Jiang, Yiding, Sokota, Samuel, Kolter, J. Zico, Finn, Chelsea

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Observational Overfitting in Reinforcement Learning von Song, Xingyou, Jiang, Yiding, Tu, Stephen, Du, Yilun, Neyshabur, Behnam

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Language as an Abstraction for Hierarchical Deep Reinforcement Learning von Jiang, Yiding, Gu, Shixiang, Murphy, Kevin, Finn, Chelsea

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Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws von Jiang, Yiding, Zhou, Allan, Feng, Zhili, Malladi, Sadhika, Kolter, J Zico

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Predicting the Generalization Gap in Deep Networks with Margin Distributions von Jiang, Yiding, Krishnan, Dilip, Mobahi, Hossein, Bengio, Samy

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Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation von He, Yutong, Robey, Alexander, Murata, Naoki, Jiang, Yiding, Williams, Joshua Nathaniel, Pappas, George J, Hassani, Hamed, Mitsufuji, Yuki, Salakhutdinov, Ruslan, Kolter, J Zico

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Permutation Equivariant Neural Functionals von Zhou, Allan, Yang, Kaien, Burns, Kaylee, Cardace, Adriano, Jiang, Yiding, Sokota, Samuel, Kolter, J Zico, Finn, Chelsea

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Neural Functional Transformers von Zhou, Allan, Yang, Kaien, Jiang, Yiding, Burns, Kaylee, Xu, Winnie, Sokota, Samuel, Kolter, J Zico, Finn, Chelsea

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Language as an Abstraction for Hierarchical Deep Reinforcement Learning von Jiang, Yiding, Gu, Shixiang, Murphy, Kevin, Finn, Chelsea

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Predicting the Generalization Gap in Deep Networks with Margin Distributions von Jiang, Yiding, Krishnan, Dilip, Mobahi, Hossein, Bengio, Samy

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