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08/12/2023
Simple Model Also Works: A Novel Emotion Recognition Network in Textual Conversation Based on Curriculum Learning Strategy
Emotion Recognition in Conversation (ERC) has emerged as a research hots...
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08/10/2023
Quantum-inspired Hash Function Based on Parity-dependent Quantum Walks with Memory
In this paper, we develop a generic controlled alternate quantum walk mo...
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05/05/2023
Generative Steganography Diffusion
Generative steganography (GS) is an emerging technique that generates st...
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07/28/2022
Generative Steganography Network
Steganography usually modifies cover media to embed secret data. A new s...
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06/12/2022
A non-graphical representation of conditional independence via the neighbourhood lattice
We introduce and study the neighbourhood lattice decomposition of a dist...
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03/03/2022
A Correlation Thresholding Algorithm for Learning Factor Analysis Models
Factor analysis is a widely used method for modeling a set of observed v...
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02/03/2022
Sequential Learning of the Topological Ordering for the Linear Non-Gaussian Acyclic Model with Parametric Noise
Causal discovery, the learning of causality in a data mining scenario, h...
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01/23/2022
Distributed Learning of Generalized Linear Causal Networks
We consider the task of learning causal structures from data stored on m...
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03/22/2021
Partitioned hybrid learning of Bayesian network structures
We develop a novel hybrid method for Bayesian network structure learning...
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06/12/2020
An Empirical Bayes Approach to Graphon Estimation
The graphon (W-graph), including the stochastic block model as a special...
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04/20/2020
Causal network learning with non-invertible functional relationships
Discovery of causal relationships from observational data is an importan...
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09/03/2019
On perfectness in Gaussian graphical models
Knowing when a graphical model is perfect to a distribution is essential...
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05/26/2019
Gaussian DAGs on network data
The traditional directed acyclic graph (DAG) model assumes data are gene...
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04/28/2019
Optimizing regularized Cholesky score for order-based learning of Bayesian networks
Bayesian networks are a class of popular graphical models that encode ca...
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04/24/2019
Learning big Gaussian Bayesian networks: partition, estimation, and fusion
Structure learning of Bayesian networks has always been a challenging pr...
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04/16/2019
Constructing confidence sets after lasso selection by randomized estimator augmentation
Although a few methods have been developed recently for building confide...
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02/01/2019
Honest Confidence Sets for High-Dimensional Regression by Projection and Shrinkage
The issue of honesty in constructing confidence sets arose in nonparamet...
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11/25/2018
Quantum Differential Cryptanalysis
In this paper, we propose a quantum version of the differential cryptana...
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06/29/2018
The Economics of Video Websites with Membership-Advertising Mode in Wireless Networks
In this paper, we consider a novel business model of video websites via ...
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11/28/2017
Quantum Search on Encrypted Data Based on Quantum Homomorphic Encryption
Here we propose a quantum search protocols on ciphered superposition sta...
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11/03/2017
Partial correlation graphs and the neighborhood lattice
We define and study partial correlation graphs (PCGs) with variables in ...
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03/11/2017
Learning Large-Scale Bayesian Networks with the sparsebn Package
Learning graphical models from data is an important problem with wide ap...
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11/29/2015
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression
We study a family of regularized score-based estimators for learning the...
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12/04/2014
Iterative Subsampling in Solution Path Clustering of Noisy Big Data
We develop an iterative subsampling approach to improve the computationa...
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04/24/2014
Solution Path Clustering with Adaptive Concave Penalty
Fast accumulation of large amounts of complex data has created a need fo...
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03/10/2014
Adaptive Penalized Estimation of Directed Acyclic Graphs From Categorical Data
We develop in this article a penalized likelihood method to estimate spa...
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01/17/2014
Monte Carlo Simulation for Lasso-Type Problems by Estimator Augmentation
Regularized linear regression under the ℓ_1 penalty, such as the Lasso, ...
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01/04/2014
