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Poster
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Thu 6:00 |
On a projective ensemble approach to two sample test for equality of distributions Zhimei Li · Yaowu Zhang |
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Poster
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Thu 6:00 |
Piecewise Linear Regression via a Difference of Convex Functions Ali Siahkamari · Aditya Gangrade · Brian Kulis · Venkatesh Saligrama |
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Poster
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Thu 6:00 |
Privately detecting changes in unknown distributions Rachel Cummings · Sara Krehbiel · Yuliia Lut · Wanrong Zhang |
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Poster
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Wed 8:00 |
Class-Weighted Classification: Trade-offs and Robust Approaches Ziyu Xu · Chen Dan · Justin Khim · Pradeep Ravikumar |
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Poster
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Tue 7:00 |
Efficient nonparametric statistical inference on population feature importance using Shapley values Brian Williamson · Jean Feng |
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Poster
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Tue 13:00 |
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery Natasa Tagasovska · Valérie Chavez-Demoulin · Thibault Vatter |
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Poster
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Tue 11:00 |
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu · Wenkai Xu · Jie Lu · Guangquan Zhang · Arthur Gretton · D.J. Sutherland |
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Poster
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Tue 10:00 |
When are Non-Parametric Methods Robust? Robi Bhattacharjee · Kamalika Chaudhuri |
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Poster
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Thu 7:00 |
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates Jeff Calder · Brendan Cook · Matthew Thorpe · Dejan Slepcev |
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Poster
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Wed 12:00 |
Implicit Regularization of Random Feature Models Arthur Jacot · Berfin Simsek · Francesco Spadaro · Clement Hongler · Franck Gabriel |
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Poster
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Tue 7:00 |
Data Amplification: Instance-Optimal Property Estimation Yi Hao · Alon Orlitsky |
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Poster
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Tue 10:00 |
Optimal Robust Learning of Discrete Distributions from Batches Ayush Jain · Alon Orlitsky |