25 citations · 85 across the 36 of their papers we have counts for
10 papers · 1 filter
Fair Multi-View Determinantal Coresets via Adaptive NEPv
Richard Yi Da Xu
Selecting a small, diverse subset from a large candidate pool often means balancing several incompatible notions of diversity. In trademark curation, for instance, a subset should…
Diverse Online Feature Selection
Chapman Siu, Richard Yi Da Xu
Online feature selection has been an active research area in recent years. We propose a novel diverse online feature selection method based on Determinantal Point Processes (DPP).…
The Dependent Random Measures with Independent Increments in Mixture Models
Cheng Luo, Richard Yi Da Xu, Yang Xiang
When observations are organized into groups where commonalties exist amongst them, the dependent random measures can be an ideal choice for modeling. One of the propositions of the…
Smoothed Hierarchical Dirichlet Process: A Non-Parametric Approach to Constraint Measures
Cheng Luo, Yang Xiang, Richard Yi Da Xu
Time-varying mixture densities occur in many scenarios, for example, the distributions of keywords that appear in publications may evolve from year to year, video frame features as…
Bayesian nonparametric image segmentation using a generalized Swendsen-Wang algorithm
Richard Yi Da Xu, Francois Caron, Arnaud Doucet
Unsupervised image segmentation aims at clustering the set of pixels of an image into spatially homogeneous regions. We introduce here a class of Bayesian nonparametric models to a…
Dependent Indian Buffet Process-based Sparse Nonparametric Nonnegative Matrix Factorization
Junyu Xuan, Jie Lu, Guangquan Zhang +2
Nonnegative Matrix Factorization (NMF) aims to factorize a matrix into two optimized nonnegative matrices appropriate for the intended applications. The method has been widely used…
Nonparametric Relational Topic Models through Dependent Gamma Processes
Junyu Xuan, Jie Lu, Guangquan Zhang +2
Traditional Relational Topic Models provide a way to discover the hidden topics from a document network. Many theoretical and practical tasks, such as dimensional reduction, docume…
Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process
Junyu Xuan, Jie Lu, Guangquan Zhang +2
Incorporating the side information of text corpus, i.e., authors, time stamps, and emotional tags, into the traditional text mining models has gained significant interests in the a…
An Adaptive Online HDP-HMM for Segmentation and Classification of Sequential Data
Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
In the recent years, the desire and need to understand sequential data has been increasing, with particular interest in sequential contexts such as patient monitoring, understandin…
A non-parametric conditional factor regression model for high-dimensional input and response
Ava Bargi, Richard Yi Da Xu, Massimo Piccardi
In this paper, we propose a non-parametric conditional factor regression (NCFR)model for domains with high-dimensional input and response. NCFR enhances linear regression in two wa…