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02/04/2023
Interpolation for Robust Learning: Data Augmentation on Geodesics
We propose to study and promote the robustness of a model as per its per...
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01/27/2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances
Dirichlet Process mixture models (DPMM) in combination with Gaussian ker...
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11/08/2022
Towards Algorithmic Fairness in Space-Time: Filling in Black Holes
New technologies and the availability of geospatial data have drawn atte...
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02/15/2021
Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields
Analysis of heterogeneous patterns in complex spatio-temporal data finds...
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02/07/2021
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data
Optimal transport (OT) has generated much recent interest by its capabil...
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12/14/2020
Outlier-Robust Optimal Transport
Optimal transport (OT) provides a way of measuring distances between dis...
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06/18/2020
Robust Unsupervised Learning of Temporal Dynamic Interactions
Robust representation learning of temporal dynamic interactions is an im...
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05/27/2019
Dirichlet Simplex Nest and Geometric Inference
We propose Dirichlet Simplex Nest, a class of probabilistic models suita...
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01/15/2019
On posterior contraction of parameters and interpretability in Bayesian mixture modeling
We study posterior contraction behaviors for parameters of interest in t...
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09/24/2018
Streaming dynamic and distributed inference of latent geometric structures
We develop new models and algorithms for learning the temporal dynamics ...
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10/09/2017