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34 Results
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Oral
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Wed 15:50 |
Statistical Efficiency of Distributional Temporal Difference Learning Yang Peng · Liangyu Zhang · Zhihua Zhang |
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Poster
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Wed 16:30 |
Statistical Efficiency of Distributional Temporal Difference Learning Yang Peng · Liangyu Zhang · Zhihua Zhang |
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Workshop
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LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts Yibo Zeng · Jiashuo Liu · Henry Lam · Hongseok Namkoong |
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Workshop
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Sat 12:00 |
Robust Conformal Prediction Using Privileged Information Shai Feldman · Yaniv Romano |
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Poster
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Thu 16:30 |
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts Zhitong Gao · Bingnan Li · Mathieu Salzmann · Xuming He |
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Poster
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Fri 11:00 |
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise Shuyao Li · Sushrut Karmalkar · Ilias Diakonikolas · Jelena Diakonikolas |
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Workshop
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Sat 15:45 |
Uncertainty Quantification for Inverse Problems with Generative Priors under Distribution Shift Sara Fridovich-Keil |
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Workshop
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Detection of Partially-Synthesized LLM Text Eric Lei · Hsiang Hsu · Richard Chen |
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Poster
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Fri 16:30 |
Optimal Classification under Performative Distribution Shift Edwige Cyffers · Muni Sreenivas Pydi · Jamal Atif · Olivier Cappé |
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Poster
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Thu 16:30 |
Temporal-Difference Learning Using Distributed Error Signals Jonas Guan · Shon Verch · Claas Voelcker · Ethan Jackson · Nicolas Papernot · William Cunningham |
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Poster
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Fri 11:00 |
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts Deyu Zou · Shikun Liu · Siqi Miao · Victor Fung · Shiyu Chang · Pan Li |
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Workshop
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Compositional Risk Minimization Divyat Mahajan · Mohammad Pezeshki · Ioannis Mitliagkas · Kartik Ahuja · Pascal Vincent |