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10 Program Highlights »
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Oral
Thu Dec 12th 03:50 -- 04:05 PM @ West Ballroom A + B
Blind Super-Resolution Kernel Estimation using an Internal-GAN
Sefi Bell-Kligler · Assaf Shocher · Michal Irani
Spotlight
Thu Dec 12th 04:05 -- 04:10 PM @ West Ballroom A + B
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Kimia Nadjahi · Alain Durmus · Umut Simsekli · Roland Badeau
Spotlight
Thu Dec 12th 04:10 -- 04:15 PM @ West Ballroom A + B
Theoretical Analysis of Adversarial Learning: A Minimax Approach
Zhuozhuo Tu · Jingwei Zhang · Dacheng Tao
Spotlight
Thu Dec 12th 04:15 -- 04:20 PM @ West Ballroom A + B
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
Gonzalo Mena · Jonathan Niles-Weed
Spotlight
Thu Dec 12th 04:20 -- 04:25 PM @ West Ballroom A + B
Differentiable Ranking and Sorting using Optimal Transport
Marco Cuturi · Olivier Teboul · Jean-Philippe Vert
Oral
Thu Dec 12th 04:25 -- 04:40 PM @ West Ballroom A + B
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal · Shashank Singh · Barnabas Poczos
Spotlight
Thu Dec 12th 04:40 -- 04:45 PM @ West Ballroom A + B
KerGM: Kernelized Graph Matching
Zhen Zhang · Yijian Xiang · Lingfei Wu · Bing Xue · Arye Nehorai
Spotlight
Thu Dec 12th 04:45 -- 04:50 PM @ West Ballroom A + B
Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli · Elisabetta Ghisu · Felipe Llinares-L√≥pez · Bastian Rieck · Karsten Borgwardt
Spotlight
Thu Dec 12th 04:50 -- 04:55 PM @ West Ballroom A + B
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
Colin Wei · Jason Lee · Qiang Liu · Tengyu Ma
Spotlight
Thu Dec 12th 04:55 -- 05:00 PM @ West Ballroom A + B
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing
meyer scetbon · Gael Varoquaux