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08/23/2023
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders
Sequential recommenders have been widely used in industry due to their s...
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05/13/2021
Causally-motivated Shortcut Removal Using Auxiliary Labels
Robustness to certain distribution shifts is a key requirement in many M...
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06/28/2019
Benefits of Overparameterization in Single-Layer Latent Variable Generative Models
One of the most surprising and exciting discoveries in supervising learn...
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12/17/2018
BriarPatches: Pixel-Space Interventions for Inducing Demographic Parity
We introduce the BriarPatch, a pixel-space intervention that obscures se...
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11/22/2017
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
Modern machine learning systems such as image classifiers rely heavily o...
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08/02/2016
Clinical Tagging with Joint Probabilistic Models
We describe a method for parameter estimation in bipartite probabilistic...
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11/10/2015
Anchored Discrete Factor Analysis
We present a semi-supervised learning algorithm for learning discrete fa...
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12/19/2012
