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Convex Polytope Trees

Oct 21, 2020
Mohammadreza Armandpour, Mingyuan Zhou


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Bayesian Attention Modules

Oct 20, 2020
Xinjie Fan, Shujian Zhang, Bo Chen, Mingyuan Zhou


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MCMC-Interactive Variational Inference

Oct 02, 2020
Quan Zhang, Huangjie Zheng, Mingyuan Zhou

* 25 pages, 7 figures, 3 tables 

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Variational Temporal Deep Generative Model for Radar HRRP Target Recognition

Sep 28, 2020
Dandan Guo, Bo Chen, Wenchao Chen, Chaojie Wang, Hongwei Liu, Mingyuan Zhou


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Graph Gamma Process Generalized Linear Dynamical Systems

Jul 25, 2020
Rahi Kalantari, Mingyuan Zhou

* 36 pages, 10 figures 

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Implicit Distributional Reinforcement Learning

Jul 13, 2020
Yuguang Yue, Zhendong Wang, Mingyuan Zhou


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Bayesian Graph Neural Networks with Adaptive Connection Sampling

Jun 30, 2020
Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian


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Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference

Jun 15, 2020
Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou

* To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv admin note: text overlap with arXiv:1803.01328 

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Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator

May 21, 2020
Siamak Zamani Dadaneh, Shahin Boluki, Mingzhang Yin, Mingyuan Zhou, Xiaoning Qian

* Uncertainty in Artificial Intelligence Conference (UAI) 2020 
* To appear in UAI 2020 

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Mutual Information Gradient Estimation for Representation Learning

May 03, 2020
Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu

* ICLR 2020 

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Discrete Action On-Policy Learning with Action-Value Critic

Feb 21, 2020
Yuguang Yue, Yunhao Tang, Mingzhang Yin, Mingyuan Zhou


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Learnable Bernoulli Dropout for Bayesian Deep Learning

Feb 12, 2020
Shahin Boluki, Randy Ardywibowo, Siamak Zamani Dadaneh, Mingyuan Zhou, Xiaoning Qian

* To appear in AISTATS 2020 

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Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation

Dec 31, 2019
Xinjie Fan, Yizhe Zhang, Zhendong Wang, Mingyuan Zhou

* ICLR 2020 

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Meta-Learning without Memorization

Dec 24, 2019
Mingzhang Yin, George Tucker, Mingyuan Zhou, Sergey Levine, Chelsea Finn

* ICLR 2020 

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Recurrent Hierarchical Topic-Guided Neural Language Models

Dec 21, 2019
Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou


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ARSM Gradient Estimator for Supervised Learning to Rank

Nov 01, 2019
Siamak Zamani Dadaneh, Shahin Boluki, Mingyuan Zhou, Xiaoning Qian


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Thompson Sampling via Local Uncertainty

Oct 30, 2019
Zhendong Wang, Mingyuan Zhou


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Poisson-Randomized Gamma Dynamical Systems

Oct 28, 2019
Aaron Schein, Scott W. Linderman, Mingyuan Zhou, David M. Blei, Hanna Wallach

* To appear in the Proceedings of the 32nd Advances in Neural Information Processing Systems (NeurIPS 2019) 

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Semi-Implicit Stochastic Recurrent Neural Networks

Oct 28, 2019
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna Narayanan, Mingyuan Zhou, Xiaoning Qian


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Semi-supervised Learning using Adversarial Training with Good and Bad Samples

Oct 18, 2019
Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold


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Variational Graph Recurrent Neural Networks

Sep 09, 2019
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield, Krishna R Narayanan, Mingyuan Zhou, Xiaoning Qian

* Accepted to Neural Information Processing Systems (NeurIPS2019) 

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Semi-Implicit Graph Variational Auto-Encoders

Sep 07, 2019
Arman Hasanzadeh, Ehsan Hajiramezanali, Nick Duffield, Krishna R. Narayanan, Mingyuan Zhou, Xiaoning Qian

* Accepted to Advances in Neural Information Processing Systems (NeurIPS2019) 

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Semi-Implicit Generative Model

May 29, 2019
Mingzhang Yin, Mingyuan Zhou

* Third workshop on Bayesian Deep Learning (NeurIPS 2018), Montreal, Canada 

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Variational Autoencoders for Sparse and Overdispersed Discrete Data

May 24, 2019
He Zhao, Piyush Rai, Lan Du, Wray Buntine, Mingyuan Zhou


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