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Counterfactual Representation Learning with Balancing Weights

Oct 23, 2020
Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin


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Variational Disentanglement for Rare Event Modeling

Sep 21, 2020
Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Goldstein, Ricardo Henao


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Weakly supervised cross-domain alignment with optimal transport

Aug 14, 2020
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin

* Accepted to BMVC 2020 (Oral) 

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Students Need More Attention: BERT-based AttentionModel for Small Data with Application to AutomaticPatient Message Triage

Jun 22, 2020
Shijing Si, Rui Wang, Jedrek Wosik, Hao Zhang, David Dov, Guoyin Wang, Ricardo Henao, Lawrence Carin

* 20 pages, Machine Learning for Healthcare 2020 (To appear) 

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Survival Analysis meets Counterfactual Inference

Jun 14, 2020
Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael Pencina, Lawrence Carin, Ricardo Henao

* 17 pages 

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Neural Conditional Event Time Models

Apr 03, 2020
Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao


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Variational Learning of Individual Survival Distributions

Mar 09, 2020
Zidi Xiu, Chenyang Tao, Ricardo Henao


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Survival Cluster Analysis

Feb 29, 2020
Paidamoyo Chapfuwa, Chunyuan Li, Nikhil Mehta, Lawrence Carin, Ricardo Henao

* Accepted at ACM CHIL 2020. Code: this https URL, https://github.com/paidamoyo/survival_cluster_analysis 

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Learning Autoencoders with Relational Regularization

Feb 27, 2020
Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin


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Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes

Feb 17, 2020
Rachel Lea Draelos, David Dov, Maciej A. Mazurowski, Joseph Y. Lo, Ricardo Henao, Geoffrey D. Rubin, Lawrence Carin

* 18 pages, 3 figures, 5 tables (appendices additional) 

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Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods

Oct 09, 2019
Kevin J Liang, Guoyin Wang, Yitong Li, Ricardo Henao, Lawrence Carin


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Straight-Through Estimator as Projected Wasserstein Gradient Flow

Oct 05, 2019
Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin

* Accepted as NeurIPS 2018 Bayesian Deep Learning Workshop 

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Improving Textual Network Learning with Variational Homophilic Embeddings

Sep 30, 2019
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin

* Accepted to NeurIPS 2019 

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Discriminative Clustering for Robust Unsupervised Domain Adaptation

May 30, 2019
Rui Wang, Guoyin Wang, Ricardo Henao


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Survival Function Matching for Calibrated Time-to-Event Predictions

May 21, 2019
Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin, Ricardo Henao


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A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images

Apr 26, 2019
David Dov, Shahar Ziv Kovalsky, Jonathan Cohen, Danielle Elliott Range, Ricardo Henao, Lawrence Carin


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Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images

Mar 29, 2019
David Dov, Shahar Kovalsky, Jonathan Cohen, Danielle Range, Ricardo Henao, Lawrence Carin


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Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment

Aug 29, 2018
Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

* To appear at EMNLP 2018 

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Multi-Label Learning from Medical Plain Text with Convolutional Residual Models

Aug 08, 2018
Xinyuan Zhang, Ricardo Henao, Zhe Gan, Yitong Li, Lawrence Carin

* Machine Learning for Healthcare 2018 spotlight paper 

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JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets

Jun 08, 2018
Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin

* Accepted by ICML 2018 

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Adversarial Time-to-Event Modeling

Jun 07, 2018
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Goldstein, Lawrence Carin, Ricardo Henao

* Published in ICML 2018; Code: https://github.com/paidamoyo/adversarial_time_to_event 

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Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms

May 24, 2018
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin

* To appear at ACL 2018 (code: https://github.com/dinghanshen/SWEM

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NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing

May 14, 2018
Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Lawrence Carin, Ricardo Henao

* To appear at ACL 2018 

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Joint Embedding of Words and Labels for Text Classification

May 10, 2018
Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin

* Published in ACL 2018; Code: https://github.com/guoyinwang/LEAM 

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Stochastic Gradient Monomial Gamma Sampler

Jan 10, 2018
Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin

* Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3996-4005, 2017 
* Published on ICML 2017 

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Towards Unifying Hamiltonian Monte Carlo and Slice Sampling

Jan 10, 2018
Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin

* Advances in Neural Information Processing Systems, pages 1741--1749, year 2016 
* updated version 

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Deconvolutional Latent-Variable Model for Text Sequence Matching

Nov 22, 2017
Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin

* Accepted by AAAI-2018 

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Adversarial Feature Matching for Text Generation

Nov 18, 2017
Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin

* Accepted by ICML 2017 

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