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Poster
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Fri 11:00
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Distribution-Aware Data Expansion with Diffusion Models
Haowei Zhu · Ling Yang · Jun-Hai Yong · Hongzhi Yin · Jiawei Jiang · Meng Xiao · Wentao Zhang · Bin Wang
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Poster
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Thu 16:30
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PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling
Hao Wu · Changhu Wang · Fan Xu · Jinbao Xue · Chong Chen · Xian-Sheng Hua · Xiao Luo
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Poster
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Wed 11:00
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Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization
Nicola Bariletto · Nhat Ho
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Workshop
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Sat 15:45
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Uncertainty Quantification for Inverse Problems with Generative Priors under Distribution Shift
Sara Fridovich-Keil
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Poster
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Wed 16:30
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Data Distribution Valuation
Xinyi Xu · Shuaiqi Wang · Chuan Sheng Foo · Bryan Kian Hsiang Low · Giulia Fanti
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Poster
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Fri 16:30
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Predicting Label Distribution from Ternary Labels
Yunan Lu · Xiuyi Jia
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Workshop
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Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
David Schnurr · Kai Helli · Noah Hollmann · Samuel Müller · Frank Hutter
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Workshop
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Improving out-of-distribution generalization by mimicking the human visual diet.
Spandan Madan · You Li · Mengmi Zhang · Hanspeter Pfister · Gabriel Kreiman
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Poster
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Fri 11:00
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Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
Dang Nguyen · Paymon Haddad · Eric Gan · Baharan Mirzasoleiman
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Workshop
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Solving Out-of-Distribution Challenges in Optical Foundation Models using Self-Improving Data Augmentation
Mingqian Ma · Taigao Ma · L. Jay Guo
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Workshop
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Sat 12:00
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Data-Adaptive Tradeoffs among Multiple Risks in Distribution-Free Prediction
Drew Nguyen · Reese Pathak · Anastasios Angelopoulos · Stephen Bates · Michael Jordan
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Workshop
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Efficient Local Unlearning for Gaussian Processes with Out-of-Distribution Data
Juliusz Ziomek · Ilija Bogunovic
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