1.4k citations · 2.1k across the 21 of their papers we have counts for
Showing 2015Show all
2 papers · 1 filter
stat.ML2015★ 1 cited
Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning
Ilya Tolstikhin, Nikita Zhivotovskiy, Gilles Blanchard
Transductive learning considers situations when a learner observes labelled training points and unlabelled test points with the final goal of giving correct answers for the…
stat.ML2015★ 43 cited
Towards a Learning Theory of Cause-Effect Inference
David Lopez-Paz, Krikamol Muandet, Bernhard Schölkopf +1
We pose causal inference as the problem of learning to classify probability distributions. In particular, we assume access to a collection , where each …