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7 Program Highlights »
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Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #6
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing
meyer scetbon · Gael Varoquaux
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #7
Distributionally Robust Optimization and Generalization in Kernel Methods
Matthew Staib · Stefanie Jegelka
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #8
Learning metrics for persistence-based summaries and applications for graph classification
Qi Zhao · Yusu Wang
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #9
Minimum Stein Discrepancy Estimators
Alessandro Barp · Francois-Xavier Briol · Andrew Duncan · Mark Girolami · Lester Mackey
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #10
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
Michela Meister · Tamas Sarlos · David Woodruff
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #11
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test
Lizhong Ding · Mengyang Yu · Li Liu · Fan Zhu · Yong Liu · Yu Li · Ling Shao
Poster
Thu Dec 12th 05:00 -- 07:00 PM @ East Exhibition Hall B + C #12
Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli · Elisabetta Ghisu · Felipe Llinares-L√≥pez · Bastian Rieck · Karsten Borgwardt