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08/18/2023
Multi-feature concatenation and multi-classifier stacking: an interpretable and generalizable machine learning method for MDD discrimination with rsfMRI
Major depressive disorder is a serious and heterogeneous psychiatric dis...
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07/18/2023
Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives
We consider the problem of learning a sparse graph underlying an undirec...
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06/05/2023
COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search
The sparse Mixture-of-Experts (Sparse-MoE) framework efficiently scales ...
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02/28/2023
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization
The sheer size of modern neural networks makes model serving a serious c...
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07/13/2022
Eliminating Gradient Conflict in Reference-based Line-art Colorization
Reference-based line-art colorization is a challenging task in computer ...
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05/08/2022
Accelerated functional brain aging in major depressive disorder: evidence from a large scale fMRI analysis of Chinese participants
Major depressive disorder (MDD) is one of the most common mental health ...
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10/15/2021
A Dual-Perception Graph Neural Network with Multi-hop Graph Generator
Graph neural networks (GNNs) have drawn increasing attention in recent y...
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07/08/2021
Causal Structural Learning Via Local Graphs
We consider the problem of learning causal structures in sparse high-dim...
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05/24/2021
A new computational framework for log-concave density estimation
In Statistics, log-concave density estimation is a central problem withi...
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05/20/2021
Definite Non-Ancestral Relations and Structure Learning
In causal graphical models based on directed acyclic graphs (DAGs), dire...
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05/23/2020
Multivariate Convex Regression at Scale
We present new large-scale algorithms for fitting a multivariate convex ...
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09/16/2019
Multi-graph Fusion for Multi-view Spectral Clustering
A panoply of multi-view clustering algorithms has been developed to deal...
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09/13/2019
Multiple Partitions Aligned Clustering
Multi-view clustering is an important yet challenging task due to the di...
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09/09/2019
Latent Multi-view Semi-Supervised Classification
To explore underlying complementary information from multiple views, in ...
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03/14/2019
Low-rank Kernel Learning for Graph-based Clustering
Constructing the adjacency graph is fundamental to graph-based clusterin...
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07/09/2018