60 citations · 290 across the 33 of their papers we have counts for
22 papers · 1 filter
An Analysis of Self-supervised Pre-training with Dependent Samples
Maximilian Fleissner, Debarghya Ghoshdastidar, Samory Kpotufe
Self-supervised learning relies on so-called data augmentations of unlabeled datapoints --- for example, masking random pixels in an image --- that should leave the…
An Efficient Variant of One-Class SVM with Lifelong Online Learning Guarantees
Joe Suk, Samory Kpotufe
We study outlier (a.k.a., anomaly) detection for single-pass non-stationary streaming data. In the well-studied offline or batch outlier detection problem, traditional methods such…
Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
Yuyang Deng, Samory Kpotufe
Theoretical works on supervised transfer learning (STL) -- where the learner has access to labeled samples from both source and target distributions -- have for the most part focus…
Distributionally-Constrained Adversaries in Online Learning
Moïse Blanchard, Samory Kpotufe
There has been much recent interest in understanding the continuum from adversarial to stochastic settings in online learning, with various frameworks including smoothed settings p…
Help Me Help You: The Aggregate Value of Source and Target Data in Transfer Learning
Steve Hanneke, Samory Kpotufe
Transfer learning, in regression or classification, concerns problems where one aims to use imperfect data from a source distribution to improve prediction w.r.t. a target dist…
Efficient Estimation of the Central Mean Subspace via Smoothed Gradient Outer Products
Gan Yuan, Mingyue Xu, Samory Kpotufe +1
We consider the problem of sufficient dimension reduction (SDR) for multi-index models. The estimators of the central mean subspace in prior works either have slow (non-parametric)…