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12/14/2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Distribution shifts can cause significant degradation in a broad range o...
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11/02/2020
p-value peeking and estimating extrema
A pervasive issue in statistical hypothesis testing is that the reported...
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08/30/2020
Sharp finite-sample large deviation bounds for independent variables
We show an extension of Sanov's theorem in large deviations theory, cont...
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09/29/2019
Learning transport cost from subset correspondence
Learning to align multiple datasets is an important problem with many ap...
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05/29/2019
An adaptive nearest neighbor rule for classification
We introduce a variant of the k-nearest neighbor classifier in which k i...
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09/05/2017
Linking Generative Adversarial Learning and Binary Classification
In this note, we point out a basic link between generative adversarial (...
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05/22/2017
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
We propose a new algorithm for training generative adversarial networks ...
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11/07/2016
Optimal Binary Autoencoding with Pairwise Correlations
We formulate learning of a binary autoencoder as a biconvex optimization...
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05/28/2016
Muffled Semi-Supervised Learning
We explore a novel approach to semi-supervised learning. This approach i...
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02/25/2016
Learning to Abstain from Binary Prediction
A binary classifier capable of abstaining from making a label prediction...
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10/01/2015
Optimal Binary Classifier Aggregation for General Losses
We address the problem of aggregating an ensemble of predictors with kno...
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06/22/2015
PAC-Bayes Iterated Logarithm Bounds for Martingale Mixtures
We give tight concentration bounds for mixtures of martingales that are ...
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06/10/2015
Sequential Nonparametric Testing with the Law of the Iterated Logarithm
We propose a new algorithmic framework for sequential hypothesis testing...
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03/05/2015
Optimally Combining Classifiers Using Unlabeled Data
We develop a worst-case analysis of aggregation of classifier ensembles ...
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01/15/2015
PAC-Bayes with Minimax for Confidence-Rated Transduction
We consider using an ensemble of binary classifiers for transductive pre...
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01/15/2015
The Fast Convergence of Incremental PCA
We consider a situation in which we see samples in R^d drawn i.i.d. from...
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05/12/2014
