19 Results

Poster
Tue 7:00 Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
Nic Dalmasso, Rafael Izbicki, Ann Lee
Poster
Tue 7:00 Data Amplification: Instance-Optimal Property Estimation
Yi Hao, Alon Orlitsky
Poster
Tue 7:00 NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Tony Duan, Anand Avati, Daisy Ding, Khanh K. Thai, Sanjay Basu, Andrew Ng, Alejandro Schuler
Poster
Tue 7:00 Efficient nonparametric statistical inference on population feature importance using Shapley values
Brian Williamson, Jean Feng
Poster
Tue 10:00 Harmonic Decompositions of Convolutional Networks
Meyer Scetbon, Zaid Harchaoui
Poster
Tue 10:00 Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain, Alon Orlitsky
Poster
Tue 10:00 When are Non-Parametric Methods Robust?
Robi Bhattacharjee, Kamalika Chaudhuri
Poster
Tue 10:00 On the Theoretical Properties of the Network Jackknife
Qiaohui Lin, Robert Lunde, Purnamrita Sarkar
Poster
Tue 11:00 Consistent Structured Prediction with Max-Min Margin Markov Networks
Alex Nowak, Francis Bach, Alessandro Rudi
Poster
Tue 13:00 Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery
Natasa Tagasovska, Valérie Chavez-Demoulin, Thibault Vatter
Poster
Tue 14:00 Decentralised Learning with Random Features and Distributed Gradient Descent
Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco
Poster
Wed 8:00 Class-Weighted Classification: Trade-offs and Robust Approaches
Neil Xu, Chen Dan, Justin Khim, Pradeep Ravikumar
Poster
Wed 12:00 Implicit Regularization of Random Feature Models
Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clement Hongler, Franck Gabriel
Poster
Thu 6:00 Privately detecting changes in unknown distributions
Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang
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 Piecewise Linear Regression via a Difference of Convex Functions
Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama
Poster
Thu 6:00 A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning
Yunhua Xiang, Noah Simon
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
Thu 13:00 Kernel interpolation with continuous volume sampling
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais