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06/27/2023
Effective resistance in metric spaces
Effective resistance (ER) is an attractive way to interrogate the struct...
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02/25/2023
Data-Copying in Generative Models: A Formal Framework
There has been some recent interest in detecting and addressing memoriza...
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02/28/2022
Structure from Voltage
Effective resistance (ER) is an attractive way to interrogate the struct...
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02/09/2022
An Exploration of Multicalibration Uniform Convergence Bounds
Recent works have investigated the sample complexity necessary for fair ...
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01/11/2022
Learning what to remember
We consider a lifelong learning scenario in which a learner faces a neve...
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02/18/2021
No-Substitution k-means Clustering with Low Center Complexity and Memory
Clustering is a fundamental task in machine learning. Given a dataset X ...
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02/18/2021
Consistent Non-Parametric Methods for Adaptive Robustness
Learning classifiers that are robust to adversarial examples has receive...
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12/28/2020
No-substitution k-means Clustering with Adversarial Order
We investigate k-means clustering in the online no-substitution setting ...
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12/19/2020
Sample Complexity of Adversarially Robust Linear Classification on Separated Data
We consider the sample complexity of learning with adversarial robustnes...
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03/13/2020
When are Non-Parametric Methods Robust?
A growing body of research has shown that many classifiers are susceptib...
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03/13/2019