Mingyuan Zhou

CoRR, 2020

Self-supervised Pre-training with Hard Examples Improves Visual Representations.

[BibT_eX]

[DOI]

CoRR, 2020

Convex Polytope Trees.

[BibT_eX]

[DOI]

Mohammadreza Armandpour

CoRR, 2020

MCMC-Interactive Variational Inference.

[BibT_eX]

[DOI]

Quan Zhang

Huangjie Zheng

CoRR, 2020

Graph Gamma Process Generalized Linear Dynamical Systems.

[BibT_eX]

[DOI]

Rahi Kalantari

CoRR, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Implicit Distributional Reinforcement Learning.

[BibT_eX]

[DOI]

Yuguang Yue

Zhendong Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bayesian Attention Modules.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bidirectional Convolutional Poisson Gamma Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Switching Poisson Gamma Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Thompson Sampling via Local Uncertainty.

[BibT_eX]

[DOI]

Zhendong Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Bayesian Graph Neural Networks with Adaptive Connection Sampling.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Recurrent Hierarchical Topic-Guided RNN for Language Generation.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Meta-Learning without Memorization.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Mutual Information Gradient Estimation for Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

3D Face Reconstruction using Color Photometric Stereo with Uncalibrated Near Point Lights.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

Semi-Implicit Stochastic Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Arsm Gradient Estimator for Supervised Learning to Rank.

[BibT_eX]

[DOI]

Shahin Boluki

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Friendly Topic Assistant for Transformer Based Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Variational Autoencoders for Sparse and Overdispersed Discrete Data.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Discrete Action On-Policy Learning with Action-Value Critic.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Learnable Bernoulli Dropout for Bayesian Deep Learning.

[BibT_eX]

[DOI]

Shahin Boluki

Randy Ardywibowo

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Content Aware Image Pre-Compensation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Recurrent Hierarchical Topic-Guided Neural Language Models.

[BibT_eX]

[DOI]

CoRR, 2019

Semi-Implicit Generative Model.

[BibT_eX]

[DOI]

CoRR, 2019

Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling.

[BibT_eX]

[DOI]

CoRR, 2019

Variational Autoencoders for Sparse and Overdispersed Discrete Data.

[BibT_eX]

[DOI]

CoRR, 2019

Non-Lambertian Surface Shape and Reflectance Reconstruction Using Concentric Multi-Spectral Light Field.

[BibT_eX]

[DOI]

CoRR, 2019

Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy.

[BibT_eX]

[DOI]

Yunhao Tang

CoRR, 2019

Bayesian negative binomial regression for differential expression with confounding factors.

[BibT_eX]

[DOI]

Bioinform., 2019

Poisson-Randomized Gamma Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Semi-Implicit Graph Variational Auto-Encoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variational Graph Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables.

[BibT_eX]

[DOI]

Yuguang Yue

Proceedings of the 36th International Conference on Machine Learning, 2019

Convolutional Poisson Gamma Belief Network.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Locally Private Bayesian Inference for Count Models.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Deep Topic Models for Multi-label Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

ARM: Augment-REINFORCE-Merge Gradient for Discrete Latent Variable Models.

[BibT_eX]

[DOI]

CoRR, 2018

Locally Private Bayesian Inference for Count Models.

[BibT_eX]

[DOI]

CoRR, 2018

Covariate-dependent negative binomial factor analysis of RNA sequencing data.

[BibT_eX]

[DOI]

Bioinform., 2018

Parsimonious Bayesian deep networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dirichlet belief networks for topic structure learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks.

[BibT_eX]

[DOI]

Quan Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Masking: A New Perspective of Noisy Supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data.

[BibT_eX]

[DOI]

Ehsan Hajiramezanali

Alireza Karbalayghareh

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Poisson gamma dynamical systems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Dual Markov Chain Topic Model for Dynamic Environments.

[BibT_eX]

[DOI]

Ayan Acharya

Joydeep Ghosh

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Inter and Intra Topic Structure Learning with Word Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Semi-Implicit Variational Inference.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Nonparametric Bayesian sparse graph linear dynamical systems.

[BibT_eX]

[DOI]

Rahi Kalantari

Joydeep Ghosh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Multimodal Poisson Gamma Belief Network.

[BibT_eX]

[DOI]

Chaojie Wang

Bo Chen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression.

[BibT_eX]

[DOI]

Quan Zhang

J. Mach. Learn. Res., 2017

Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Augmentable Gamma Belief Networks.

[BibT_eX]

[DOI]

Yulai Cong

Bo Chen

J. Mach. Learn. Res., 2016

Poisson-Gamma dynamical systems.

[BibT_eX]

[DOI]

Aaron Schein

Hanna M. Wallach

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Rotational Crossed-Slit Light Fields.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Negative Binomial Process Count and Mixture Modeling.

[BibT_eX]

[DOI]

Lawrence Carin

IEEE Trans. Pattern Anal. Mach. Intell., 2015

A Bayesian Nonparametric Approach to Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Gamma Process Poisson Factorization for Joint Modeling of Network and Documents.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

The Poisson Gamma Belief Network.

[BibT_eX]

[DOI]

Yulai Cong

Bo Chen

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Nonparametric Bayesian matrix factorization for assortative networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

Infinite Edge Partition Models for Overlapping Community Detection and Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices.

[BibT_eX]

[DOI]

Ayan Acharya

Joydeep Ghosh

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Hybrid sensing face detection and recognition.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2014

Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2014

Beta-Negative Binomial Process and Exchangeable Random Partitions for Mixed-Membership Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2012

Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2012

Dictionary Learning for Noisy and Incomplete Hyperspectral Images.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2012

Beta-Negative Binomial Process and Poisson Factor Analysis.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Nested Dictionary Learning for Hierarchical Organization of Imagery and Text.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Augment-and-Conquer Negative Binomial Processes.

[BibT_eX]

[DOI]

Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

The contextual focused topic model.

[BibT_eX]

[DOI]

Xu Chen

Lawrence Carin

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Lognormal and Gamma Mixed Negative Binomial Regression.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Online Bayesian dictionary learning for large datasets.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A GPU-based implementation of an enhanced GEP algorithm.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Dependent Hierarchical Beta Process for Image Interpolation and Denoising.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

On the Integration of Topic Modeling and Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Covariate-dependent dictionary learning and sparse coding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Joint dictionary learning and topic modeling for image clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System.

[BibT_eX]

[DOI]

Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010

Nonparametric image interpolation and dictionary learning using spatially-dependent Dirichlet and beta process priors.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2010

2009

Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

On the relationship of non-parametric methods for coherence function estimation.

[BibT_eX]

[DOI]

Chengshi Zheng