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Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning


Feb 04, 2022
Wei Huang, Chunrui Liu, Yilan Chen, Tianyu Liu, Richard Yi Da Xu

* 19pages, 5 figures 

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Regularize! Don't Mix: Multi-Agent Reinforcement Learning without Explicit Centralized Structures


Sep 19, 2021
Chapman Siu, Jason Traish, Richard Yi Da Xu


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Dual Behavior Regularized Reinforcement Learning


Sep 19, 2021
Chapman Siu, Jason Traish, Richard Yi Da Xu


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Greedy UnMixing for Q-Learning in Multi-Agent Reinforcement Learning


Sep 19, 2021
Chapman Siu, Jason Traish, Richard Yi Da Xu


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Alleviating Mode Collapse in GAN via Diversity Penalty Module


Aug 24, 2021
Sen Pei, Richard Yi Da Xu, Shiming Xiang, Gaofeng Meng


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dp-GAN : Alleviating Mode Collapse in GAN via Diversity Penalty Module


Aug 05, 2021
Sen Pei, Richard Yi Da Xu, Gaofeng Meng


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Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss


Mar 03, 2021
Wei Huang, Yayong Li, Weitao Du, Richard Yi Da Xu, Jie Yin, Ling Chen

* 23 pages, 4 figures 

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Resolution-invariant Person ReID Based on Feature Transformation and Self-weighted Attention


Jan 18, 2021
Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu


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Resolution invariant person reid based on feature transformation and self-weighted attention


Jan 12, 2021
Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu


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Implicit bias of deep linear networks in the large learning rate phase


Dec 16, 2020
Wei Huang, Weitao Du, Richard Yi Da Xu, Chunrui Liu

* 19 pages, 7 figures 

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RGB-IR Cross-modality Person ReID based on Teacher-Student GAN Model


Jul 15, 2020
Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu

* 8 pages including 1 page reference 

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On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization


Apr 28, 2020
Wei Huang, Weitao Du, Richard Yi Da Xu

* 16 pages, 5 figures 

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Mean field theory for deep dropout networks: digging up gradient backpropagation deeply


Jan 29, 2020
Wei Huang, Richard Yi Da Xu, Weitao Du, Yutian Zeng, Yunce Zhao

* 20 pages, 7 figures 

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Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems


Dec 19, 2019
Wei Huang, Richard Yi Da Xu

* 8 pages, 5 figures 

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Magnitude Bounded Matrix Factorisation for Recommender Systems


Jul 15, 2018
Shuai Jiang, Kan Li, Richard Yi Da Xu

* 11 pages, 6 figures, TNNLS 

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Diverse Online Feature Selection


Jun 12, 2018
Chapman Siu, Richard Yi Da Xu


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Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization


Jul 18, 2017
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu


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The Dependent Random Measures with Independent Increments in Mixture Models


Jun 27, 2016
Cheng Luo, Richard Yi Da Xu, Yang Xiang


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Smoothed Hierarchical Dirichlet Process: A Non-Parametric Approach to Constraint Measures


Apr 16, 2016
Cheng Luo, Yang Xiang, Richard Yi Da Xu


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Bayesian nonparametric image segmentation using a generalized Swendsen-Wang algorithm


Feb 09, 2016
Richard Yi Da Xu, Francois Caron, Arnaud Doucet


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Dependent Indian Buffet Process-based Sparse Nonparametric Nonnegative Matrix Factorization


Jul 12, 2015
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo

* 14 pages, 10 figures 

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Nonparametric Relational Topic Models through Dependent Gamma Processes


Mar 30, 2015
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo


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Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process


Mar 30, 2015
Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo

* 10 pages, 5 figures, submitted to KDD conference 

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An Adaptive Online HDP-HMM for Segmentation and Classification of Sequential Data


Mar 13, 2015
Ava Bargi, Richard Yi Da Xu, Massimo Piccardi

* 23 pages, 9 figures and 4 tables 

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Copula Mixed-Membership Stochastic Blockmodel for Intra-Subgroup Correlations


Oct 06, 2013
Xuhui Fan, Longbing Cao, Richard Yi Da Xu


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Learning Hidden Structures with Relational Models by Adequately Involving Rich Information in A Network


Oct 06, 2013
Xuhui Fan, Richard Yi Da Xu, Longbing Cao, Yin Song


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A non-parametric conditional factor regression model for high-dimensional input and response


Jul 02, 2013
Ava Bargi, Richard Yi Da Xu, Massimo Piccardi

* 9 pages, 3 figures, NIPS submission 

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