Workshop
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Equity-Aware Spatial-Temporal Workload Shifting for Sustainable AI Data Centers
Mohammad Jaminur Islam · Shaolei Ren
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Poster
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Thu 11:00
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Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
Jiayun Wu · Jiashuo Liu · Peng Cui · Steven Wu
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Workshop
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Incremental Uncertainty-aware Performance Monitoring with Labeling Intervention
Alexander Koebler · Thomas Decker · Ingo Thon · Volker Tresp · Florian Buettner
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Poster
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Wed 11:00
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Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
Kai Helli · David Schnurr · Noah Hollmann · Samuel Müller · Frank Hutter
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Workshop
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Sun 9:30
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Lightning Talk: Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
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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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Poster
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Fri 11:00
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Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
Yuli Slavutsky · Yuval Benjamini
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Poster
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Thu 16:30
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Efficient Discrepancy Testing for Learning with Distribution Shift
Gautam Chandrasekaran · Adam Klivans · Vasilis Kontonis · Konstantinos Stavropoulos · Arsen Vasilyan
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Poster
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Fri 11:00
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On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
Pratiksha Thaker · Amrith Setlur · Steven Wu · Virginia Smith
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Workshop
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Sat 15:45
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Conformal Prediction Adaptive to Unknown Subpopulation Shifts
Nien-Shao Wang · Sai Praneeth Karimireddy
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Poster
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Fri 11:00
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Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
Taejong Joo · Diego Klabjan
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Poster
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Fri 11:00
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GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
Shirley Wu · Kaidi Cao · Bruno Ribeiro · James Zou · Jure Leskovec
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