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Poster
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Tue 7:00
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Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting
Nic Dalmasso, Rafael Izbicki, Ann Lee
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Poster
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Tue 7:00
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Data Amplification: Instance-Optimal Property Estimation
Yi Hao, Alon Orlitsky
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Poster
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Tue 7:00
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NGBoost: Natural Gradient Boosting for Probabilistic Prediction
Tony Duan, Anand Avati, Daisy Ding, Khanh K. Thai, Sanjay Basu, Andrew Ng, Alejandro Schuler
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Poster
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Tue 7:00
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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 10:00
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Harmonic Decompositions of Convolutional Networks
Meyer Scetbon, Zaid Harchaoui
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Poster
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Tue 10:00
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Optimal Robust Learning of Discrete Distributions from Batches
Ayush Jain, Alon Orlitsky
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Poster
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Tue 10:00
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When are Non-Parametric Methods Robust?
Robi Bhattacharjee, Kamalika Chaudhuri
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Poster
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Tue 10:00
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On the Theoretical Properties of the Network Jackknife
Qiaohui Lin, Robert Lunde, Purnamrita Sarkar
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Poster
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Tue 11:00
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Consistent Structured Prediction with Max-Min Margin Markov Networks
Alex Nowak, Francis Bach, Alessandro Rudi
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Poster
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Tue 13:00
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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 14:00
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Decentralised Learning with Random Features and Distributed Gradient Descent
Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco
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Poster
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Wed 8:00
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Class-Weighted Classification: Trade-offs and Robust Approaches
Neil Xu, Chen Dan, Justin Khim, Pradeep Ravikumar
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Poster
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Wed 12:00
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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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Thu 6:00
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Privately detecting changes in unknown distributions
Rachel Cummings, Sara Krehbiel, Yuliia Lut, Wanrong Zhang
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Poster
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Thu 6:00
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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
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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
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A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning
Yunhua Xiang, Noah Simon
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Poster
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Thu 7:00
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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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Thu 13:00
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Kernel interpolation with continuous volume sampling
Ayoub Belhadji, Rémi Bardenet, Pierre Chainais
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