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06/12/2023
Efficiently Learning the Graph for Semi-supervised Learning
Computational efficiency is a major bottleneck in using classic graph-ba...
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04/06/2023
Reliable Learning for Test-time Attacks and Distribution Shift
Machine learning algorithms are often used in environments which are not...
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07/20/2022
Provably tuning the ElasticNet across instances
An important unresolved challenge in the theory of regularization is to ...
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04/07/2022
Faster algorithms for learning to link, align sequences, and price two-part tariffs
Data-driven algorithm configuration is a promising, learning-based appro...
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03/08/2022
Robustly-reliable learners under poisoning attacks
Data poisoning attacks, in which an adversary corrupts a training set wi...
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08/19/2021
Learning-to-learn non-convex piecewise-Lipschitz functions
We analyze the meta-learning of the initialization and step-size of lear...
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03/18/2021
Data driven algorithms for limited labeled data learning
We consider a novel data driven approach for designing learning algorith...
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07/22/2019