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