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Oral
Thu Jun 13 06:00 AM -- 06:20 AM (KST) @ Room 103
Monge blunts Bayes: Hardness Results for Adversarial Training
In Statistical Learning Theory
Zac Cranko · Aditya Menon · Richard Nock · Cheng Soon Ong · Zhan Shi · Christian Walder
[ Slides]  [ Video] 
Oral
Thu Jun 13 06:20 AM -- 06:25 AM (KST) @ Room 103
Better generalization with less data using robust gradient descent
In Statistical Learning Theory
Matthew J. Holland · Kazushi Ikeda
[ Slides]  [ Video] 
Oral
Thu Jun 13 06:25 AM -- 06:30 AM (KST) @ Room 103
Near optimal finite time identification of arbitrary linear dynamical systems
In Statistical Learning Theory
Tuhin Sarkar · Alexander Rakhlin
[ Slides]  [ Video] 
Oral
Thu Jun 13 06:30 AM -- 06:35 AM (KST) @ Room 103
Lossless or Quantized Boosting with Integer Arithmetic
In Statistical Learning Theory
Richard Nock · Robert C Williamson
[ Slides]  [ Video] 
Oral
Thu Jun 13 06:35 AM -- 06:40 AM (KST) @ Room 103
Orthogonal Random Forest for Causal Inference
In Statistical Learning Theory
Miruna Oprescu · Vasilis Syrgkanis · Steven Wu
[ Slides]  [ Video] 
Oral
Thu Jun 13 06:40 AM -- 07:00 AM (KST) @ Room 103
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
In Statistical Learning Theory
Matthieu Lerasle · Zoltan Szabo · Timothée Mathieu · Guillaume Lecue
[ Video] 
Oral
Thu Jun 13 07:00 AM -- 07:05 AM (KST) @ Room 103
The advantages of multiple classes for reducing overfitting from test set reuse
In Statistical Learning Theory
Vitaly Feldman · Roy Frostig · Moritz Hardt
[ Slides]  [ Video] 
Oral
Thu Jun 13 07:05 AM -- 07:10 AM (KST) @ Room 103
On the statistical rate of nonlinear recovery in generative models with heavy-tailed data
In Statistical Learning Theory
Xiaohan Wei · Zhuoran Yang · Zhaoran Wang
[ Slides]  [ Video] 
Oral
Thu Jun 13 07:10 AM -- 07:15 AM (KST) @ Room 103
Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!
In Statistical Learning Theory
Niels Ipsen · Lars Kai Hansen
[ Slides]  [ Video] 
Oral
Thu Jun 13 07:15 AM -- 07:20 AM (KST) @ Room 103
On Medians of (Randomized) Pairwise Means
In Statistical Learning Theory
Stephan Clemencon · Pierre Laforgue · Patrice Bertail
[ Slides]  [ Video]