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