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78 Results
Workshop
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Forecasting labels under distribution-shift for machine-guided sequence design Lauren B Wheelock · Stephen Malina · Jeffrey Gerold · Sam Sinai |
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Poster
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Wed 9:00 |
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits Tianyuan Jin · Pan Xu · Xiaokui Xiao · Anima Anandkumar |
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Poster
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Tue 14:00 |
Independence Testing for Bounded Degree Bayesian Networks Arnab Bhattacharyya · Clément L Canonne · Qiping Yang |
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Poster
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Tue 14:00 |
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits Yifei Wang · Tavor Baharav · Yanjun Han · Jiantao Jiao · David Tse |
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Poster
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Tue 9:00 |
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning Milad Sefidgaran · Romain Chor · Abdellatif Zaidi |
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Poster
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Thu 14:00 |
Cooperative Distribution Alignment via JSD Upper Bound Wonwoong Cho · ZIYU GONG · David Inouye |
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Workshop
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Tailored Overlap for Learning Under Distribution Shift David Bruns-Smith · Alexander D'Amour · Avi Feller · Steve Yadlowsky |
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Poster
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Thu 14:00 |
Top Two Algorithms Revisited Marc Jourdan · Rémy Degenne · Dorian Baudry · Rianne de Heide · Emilie Kaufmann |
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Workshop
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Engineering Uncertainty Representations to Monitor Distribution Shifts Thomas Bonnier · Benjamin Bosch |
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Poster
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Tue 14:00 |
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift Christina Baek · Yiding Jiang · Aditi Raghunathan · J. Zico Kolter |
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Poster
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Tue 14:00 |
Unsupervised Causal Generative Understanding of Images Titas Anciukevicius · Patrick Fox-Roberts · Edward Rosten · Paul Henderson |
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Poster
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RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection Yue Song · Nicu Sebe · Wei Wang |