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02/27/2023
Detecting Jumps on a Tree: a Hierarchical Pitman-Yor Model for Evolution of Phenotypic Distributions
This work focuses on clustering populations with a hierarchical dependen...
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11/14/2022
Offline Estimation of Controlled Markov Chains: Minimax Nonparametric Estimators and Sample Efficiency
Controlled Markov chains (CMCs) form the bedrock for model-based reinfor...
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10/09/2022
Bayesian Repulsive Mixture Modeling with Matérn Point Processes
Mixture models are a standard tool in statistical analysis, widely used ...
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09/28/2022
Marginally Constrained Nonparametric Bayesian Inference through Gaussian Processes
Nonparametric Bayesian models are used routinely as flexible and powerfu...
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12/17/2021
Set Twister for Single-hop Node Classification
Node classification is a central task in relational learning, with the c...
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11/06/2021
Contextual Unsupervised Outlier Detection in Sequences
This work proposes an unsupervised learning framework for trajectory (se...
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08/02/2021
Privacy-Aware Rejection Sampling
Differential privacy (DP) offers strong theoretical privacy guarantees, ...
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04/04/2019
Community detection over a heterogeneous population of non-aligned networks
Clustering and community detection with multiple graphs have typically f...
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03/26/2019
An Exact Auxiliary Variable Gibbs Sampler for a Class of Diffusions
Stochastic differential equations (SDEs) or diffusions are continuous-va...
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03/06/2019
Relational Pooling for Graph Representations
This work generalizes graph neural networks (GNNs) beyond those based on...
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11/05/2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
We consider a simple and overarching representation for permutation-inva...
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09/24/2018
Flexible Mixture Modeling on Constrained Spaces
This paper addresses challenges in flexibly modeling multimodal data tha...
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09/07/2018
Multi-level hypothesis testing for populations of heterogeneous networks
In this work, we consider hypothesis testing and anomaly detection on da...
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08/29/2018
Group-Representative Functional Network Estimation from Multi-Subject fMRI Data via MRF-based Image Segmentation
We propose a novel two-phase approach to functional network estimation o...
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01/11/2014
Multiscale Shrinkage and Lévy Processes
A new shrinkage-based construction is developed for a compressible vecto...
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02/14/2012
