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Poster
Tue 14:00 Manifold Structured Prediction
Alessandro Rudi · Carlo Ciliberto · Gian Maria Marconi · Lorenzo Rosasco
Poster
Thu 14:00 A Smoother Way to Train Structured Prediction Models
Krishna Pillutla · Vincent Roulet · Sham Kakade · Zaid Harchaoui
Poster
Tue 14:00 Generalizing Tree Probability Estimation via Bayesian Networks
Cheng Zhang · Frederick A Matsen IV
Poster
Thu 14:00 Bilevel learning of the Group Lasso structure
Jordan Frecon · Saverio Salzo · Massimiliano Pontil
Poster
Thu 7:45 Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig · Moshiko Raboh · Gal Chechik · Jonathan Berant · Amir Globerson
Poster
Thu 14:00 A Structured Prediction Approach for Label Ranking
Anna Korba · Alexandre Garcia · Florence d'Alché-Buc
Poster
Wed 14:00 Maximizing Induced Cardinality Under a Determinantal Point Process
Jennifer Gillenwater · Alex Kulesza · Sergei Vassilvitskii · Zelda Mariet
Poster
Thu 7:45 A no-regret generalization of hierarchical softmax to extreme multi-label classification
Marek Wydmuch · Kalina Jasinska-Kobus · Mikhail Kuznetsov · Róbert Busa-Fekete · Krzysztof Dembczynski
Oral
Tue 7:30 A Retrieve-and-Edit Framework for Predicting Structured Outputs
Tatsunori Hashimoto · Kelvin Guu · Yonatan Oren · Percy Liang
Poster
Tue 7:45 A Retrieve-and-Edit Framework for Predicting Structured Outputs
Tatsunori Hashimoto · Kelvin Guu · Yonatan Oren · Percy Liang
Poster
Thu 7:45 Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses
Corinna Cortes · Vitaly Kuznetsov · Mehryar Mohri · Dmitry Storcheus · Scott Yang
Poster
Thu 14:00 Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity
Fariborz Salehi · Ehsan Abbasi · Babak Hassibi