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03/19/2023
Robustifying likelihoods by optimistically re-weighting data
Likelihood-based inferences have been remarkably successful in wide-span...
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10/21/2022
Targeted active learning for probabilistic models
A fundamental task in science is to design experiments that yield valuab...
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12/22/2021
Simple and near-optimal algorithms for hidden stratification and multi-group learning
Multi-group agnostic learning is a formal learning criterion that is con...
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07/03/2021
Bayesian decision-making under misspecified priors with applications to meta-learning
Thompson sampling and other Bayesian sequential decision-making algorith...
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05/27/2021
The piranha problem: Large effects swimming in a small pond
In some scientific fields, it is common to have certain variables of int...
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08/24/2020
Contrastive learning, multi-view redundancy, and linear models
Self-supervised learning is an empirically successful approach to unsupe...
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06/05/2020
Expressivity of expand-and-sparsify representations
A simple sparse coding mechanism appears in the sensory systems of sever...
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03/04/2020
Contrastive estimation reveals topic posterior information to linear models
Contrastive learning is an approach to representation learning that util...
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06/18/2019
Interactive Topic Modeling with Anchor Words
The formalism of anchor words has enabled the development of fast topic ...
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06/10/2019
Bayesian Tensor Filtering: Smooth, Locally-Adaptive Factorization of Functional Matrices
We consider the problem of functional matrix factorization, finding low-...
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06/05/2019
Diameter-based Interactive Structure Search
In this work, we introduce interactive structure search, a generic frame...
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03/17/2018
Structural query-by-committee
In this work, we describe a framework that unifies many different intera...
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02/27/2017