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Interacting Contour Stochastic Gradient Langevin Dynamics


Feb 20, 2022
Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang

* ICLR 2022 

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Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art


Dec 23, 2021
Xiang Ling, Lingfei Wu, Jiangyu Zhang, Zhenqing Qu, Wei Deng, Xiang Chen, Chunming Wu, Shouling Ji, Tianyue Luo, Jingzheng Wu, Yanjun Wu


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On Convergence of Federated Averaging Langevin Dynamics


Dec 09, 2021
Wei Deng, Yi-An Ma, Zhao Song, Qian Zhang, Guang Lin


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Information Directed Sampling for Sparse Linear Bandits


May 29, 2021
Botao Hao, Tor Lattimore, Wei Deng


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A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions


Oct 19, 2020
Wei Deng, Guang Lin, Faming Liang

* Accepted by NeurIPS 2020 

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An adaptive Hessian approximated stochastic gradient MCMC method


Oct 03, 2020
Yating Wang, Wei Deng, Guang Lin


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Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction


Oct 02, 2020
Wei Deng, Qi Feng, Georgios Karagiannis, Guang Lin, Faming Liang


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Non-convex Learning via Replica Exchange Stochastic Gradient MCMC


Sep 10, 2020
Wei Deng, Qi Feng, Liyao Gao, Faming Liang, Guang Lin

* Accepted by ICML 2020 

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Bayesian Sparse learning with preconditioned stochastic gradient MCMC and its applications


Jun 29, 2020
Yating Wang, Wei Deng, Lin Guang


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