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Workshop
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Computationally Efficient Laplace Approximations for Neural Networks
Swarnali Raha · Kshitij Khare · Rohit Patra
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Affinity Event
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Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
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Workshop
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Known Unknowns: Out-of-Distribution Property Prediction in Materials
Nofit Segal · Aviv Netanyahu · Rafael Gomez-Bombarelli · Pulkit Agrawal
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Workshop
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Towards zero-shot adaptation of predictive models of neurons encoding posterior probability
Suhas Shrinivasan · Ralf Haefner · Fabian Sinz · Edgar Walker
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Workshop
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Posterior Inferred, Now What? Streamlining Prediction in Bayesian Deep Learning
Rui Li · Marcus Klasson · Arno Solin · Martin Trapp
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Workshop
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Sat 12:00
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CriticAL: Model Criticism Automation with Language Models
Michael Li · Noah Goodman · Emily Fox
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Workshop
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Sat 14:42
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Known Unknowns: Out-of-Distribution Property Prediction in Materials and Molecules
Nofit Segal · Aviv Netanyahu · Kevin P. Greenman · Pulkit Agrawal · Rafael Gomez-Bombarelli
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Poster
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Fri 11:00
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Toward Conditional Distribution Calibration in Survival Prediction
Shi-ang Qi · Yakun Yu · Russell Greiner
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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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Workshop
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Sat 12:00
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Robust Conformal Prediction Using Privileged Information
Shai Feldman · Yaniv Romano
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Poster
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Fri 16:30
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Distributionally Robust Performative Prediction
Songkai Xue · Yuekai Sun
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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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