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Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing


Nov 14, 2022
Ahmed Abbasi, Abiy Tasissa, Shuchin Aeron

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Trade-off between reconstruction loss and feature alignment for domain generalization


Oct 26, 2022
Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron

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* International Conference on Machine Learning and Applications (ICMLA-2022) 
* 13 pages, 2 tables 

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Non-Parametric and Regularized Dynamical Wasserstein Barycenters for Time-Series Analysis


Oct 07, 2022
Kevin C. Cheng, Shuchin Aeron, Michael C. Hughes, Eric L. Miller

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Joint covariate-alignment and concept-alignment: a framework for domain generalization


Aug 01, 2022
Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron

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* 8 pages, 2 figures, and 1 table. This paper is accepted at 32nd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2022) 

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Easy Variational Inference for Categorical Models via an Independent Binary Approximation


May 31, 2022
Michael T. Wojnowicz, Shuchin Aeron, Eric L. Miller, Michael C. Hughes

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* to appear at ICML 2022 

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Measure Estimation in the Barycentric Coding Model


Jan 28, 2022
Matthew Werenski, Ruijie Jiang, Abiy Tasissa, Shuchin Aeron, James M. Murphy

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Conditional entropy minimization principle for learning domain invariant representation features


Jan 25, 2022
Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron

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* 7 pages 

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r-local sensing: Improved algorithm and applications


Nov 16, 2021
Ahmed Ali Abbasi, Abiy Tasissa, Shuchin Aeron

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Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning


Nov 04, 2021
Ruijie Jiang, Prakash Ishwar, Shuchin Aeron

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