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