| 2025 | AAAI | Proactive Pseudo-Intervention: Pre-informed Contrastive Learning For Interpretable Vision Models. | Dong Wang, Yuewei Yang, Liqun Chen, Zhe Gan, Ricardo Henao, Lawrence Carin |
| 2025 | ACL | LangMark: A Multilingual Dataset for Automatic Post-Editing. | Diego Velazquez, Mikaela Grace, Konstantinos Karageorgos, Lawrence Carin, Aaron Schliem, Dimitrios Zaikis, Roger Wechsler |
| 2025 | ICLR | Graph Transformers Dream of Electric Flow. | Xiang Cheng, Lawrence Carin, Suvrit Sra |
| 2025 | ICML | On Understanding Attention-Based In-Context Learning for Categorical Data. | Aaron T. Wang, William Convertino, Xiang Cheng, Ricardo Henao, Lawrence Carin |
| 2024 | WACV | Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning. | Vinay Kumar Verma, Nikhil Mehta, Kevin J. Liang, Aakansha Mishra, Lawrence Carin |
| 2023 | WACV | Pushing the Efficiency Limit Using Structured Sparse Convolutions. | Vinay Kumar Verma, Nikhil Mehta, Shijing Si, Ricardo Henao, Lawrence Carin |
| 2022 | CIKM | Improving Downstream Task Performance by Treating Numbers as Entities. | Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin |
| 2022 | EMNLP | Open World Classification with Adaptive Negative Samples. | Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin |
| 2022 | ICLR | Gradient Importance Learning for Incomplete Observations. | Qitong Gao, Dong Wang, Joshua David Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic |
| 2022 | WACV | Learning to Weight Filter Groups for Robust Classification. | Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David E. Carlson |
| 2022 | UAI | Capturing actionable dynamics with structured latent ordinary differential equations. | Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao |
| 2021 | AAAI | GO Hessian for Expectation-Based Objectives. | Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin |
| 2021 | AAAI | Learning Graphons via Structured Gromov-Wasserstein Barycenters. | Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha |
| 2021 | AISTATS | Counterfactual Representation Learning with Balancing Weights. | Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin |
| 2021 | AISTATS | Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors. | Nikhil Mehta, Kevin J. Liang, Vinay Kumar Verma, Lawrence Carin |
| 2021 | CIKM | Syntactic Knowledge-Infused Transformer and BERT Models. | Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin |
| 2021 | CVPR | Wasserstein Contrastive Representation Distillation. | Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin |
| 2021 | CVPR | Towards Fair Federated Learning With Zero-Shot Data Augmentation. | Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J. Liang, Changyou Chen, Lawrence Carin |
| 2021 | CVPR | Efficient Feature Transformations for Discriminative and Generative Continual Learning. | Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin |
| 2021 | EMNLP | Learning Task Sampling Policy for Multitask Learning. | Dhanasekar Sundararaman, Henry Tsai, Kuang-Huei Lee, Iulia Turc, Lawrence Carin |
| 2021 | ICLR | FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. | Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin |
| 2021 | ICLR | MixKD: Towards Efficient Distillation of Large-scale Language Models. | Kevin J. Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin |
| 2021 | ICLR | Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. | Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin |
| 2021 | KDD | FLOP: Federated Learning on Medical Datasets using Partial Networks. | Qian Yang, Jianyi Zhang, Weituo Hao, Gregory P. Spell, Lawrence Carin |
| 2021 | NAACL | APo-VAE: Text Generation in Hyperbolic Space. | Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu |
| 2021 | NAACL | SpanPredict: Extraction of Predictive Document Spans with Neural Attention. | Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin |
| 2021 | WACV | Zero-Shot Recognition via Optimal Transport. | Wenlin Wang, Hongteng Xu, Guoyin Wang, Wenqi Wang, Lawrence Carin |
| 2020 | AAAI | Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. | Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin |
| 2020 | AAAI | Dynamic Embedding on Textual Networks via a Gaussian Process. | Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin |
| 2020 | AAAI | Complementary Auxiliary Classifiers for Label-Conditional Text Generation. | Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao |
| 2020 | AAAI | Graph-Driven Generative Models for Heterogeneous Multi-Task Learning. | Wenlin Wang, Hongteng Xu, Zhe Gan, Bai Li, Guoyin Wang, Liqun Chen, Qian Yang, Wenqi Wang, Lawrence Carin |
| 2020 | AAAI | Bridging Maximum Likelihood and Adversarial Learning via α-Divergence. | Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin |
| 2020 | ACCV | Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation. | Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin |
| 2020 | ACL | Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. | Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin |
| 2020 | ACL | Improving Adversarial Text Generation by Modeling the Distant Future. | Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin |
| 2020 | AISTATS | Nested-Wasserstein Self-Imitation Learning for Sequence Generation. | Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin |
| 2020 | AISTATS | Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. | Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen |
| 2020 | BMVC | Adaptation Across Extreme Variations using Unlabeled Bridges. | Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker |
| 2020 | BMVC | Object Detection as a Positive-Unlabeled Problem. | Yuewei Yang, Kevin J. Liang, Lawrence Carin |
| 2020 | BMVC | Advancing weakly supervised cross-domain alignment with optimal transport. | Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin |
| 2020 | CVPR | Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training. | Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao |
| 2020 | CVPR | Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction. | Yantao Lu, Yunhan Jia, Jianyu Wang, Bai Li, Weiheng Chai, Lawrence Carin, Senem Velipasalar |
| 2020 | EMNLP | Improving Text Generation with Student-Forcing Optimal Transport. | Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin |
| 2020 | EMNLP | An Embedding Model for Estimating Legislative Preferences from the Frequency and Sentiment of Tweets. | Gregory Spell, Brian Guay, Sunshine Hillygus, Lawrence Carin |
| 2020 | EMNLP | Methods for Numeracy-Preserving Word Embeddings. | Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin |
| 2020 | EMNLP | Integrating Task Specific Information into Pretrained Language Models for Low Resource Fine Tuning. | Rui Wang, Shijing Si, Guoyin Wang, Lei Zhang, Lawrence Carin, Ricardo Henao |
| 2020 | EMNLP | Semantic Matching via Optimal Partial Transport. | Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin |
| 2020 | ICLR | Transferable Perturbations of Deep Feature Distributions. | Nathan Inkawhich, Kevin J. Liang, Lawrence Carin, Yiran Chen |
| 2020 | ICLR | RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering. | Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin |
| 2020 | ICML | Graph Optimal Transport for Cross-Domain Alignment. | Liqun Chen, Zhe Gan, Yu Cheng, Linjie Li, Lawrence Carin, Jingjing Liu |
| 2020 | ICML | CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. | Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin |
| 2020 | ICML | Learning Autoencoders with Relational Regularization. | Hongteng Xu, Dixin Luo, Ricardo Henao, Svati Shah, Lawrence Carin |
| 2020 | ICML | On Leveraging Pretrained GANs for Generation with Limited Data. | Miaoyun Zhao, Yulai Cong, Lawrence Carin |
| 2019 | AAAI | Communication-Efficient Stochastic Gradient MCMC for Neural Networks. | Chunyuan Li, Changyou Chen, Yunchen Pu, Ricardo Henao, Lawrence Carin |
| 2019 | ACL | Improving Textual Network Embedding with Global Attention via Optimal Transport. | Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin |
| 2019 | ACL | Learning Compressed Sentence Representations for On-Device Text Processing. | Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin |
| 2019 | ACL | Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. | Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin |
| 2019 | ACL | Syntax-Infused Variational Autoencoder for Text Generation. | Xinyuan Zhang, Yi Yang, Siyang Yuan, Dinghan Shen, Lawrence Carin |
| 2019 | AISTATS | Adversarial Learning of a Sampler Based on an Unnormalized Distribution. | Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin |
| 2019 | AISTATS | On Connecting Stochastic Gradient MCMC and Differential Privacy. | Bai Li, Changyou Chen, Hao Liu, Lawrence Carin |
| 2019 | AISTATS | Scalable Thompson Sampling via Optimal Transport. | Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin |
| 2019 | CVPR | StoryGAN: A Sequential Conditional GAN for Story Visualization. | Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao |
| 2019 | EMNLP | An End-to-End Generative Architecture for Paraphrase Generation. | Qian Yang, Zhouyuan Huo, Dinghan Shen, Yong Cheng, Wenlin Wang, Guoyin Wang, Lawrence Carin |
| 2019 | ICLR | Improving Sequence-to-Sequence Learning via Optimal Transport. | Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin |
| 2019 | ICLR | GO Gradient for Expectation-Based Objectives. | Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin |
| 2019 | ICML | Stochastic Blockmodels meet Graph Neural Networks. | Nikhil Mehta, Lawrence Carin, Piyush Rai |
| 2019 | ICML | Revisiting the Softmax Bellman Operator: New Benefits and New Perspective. | Zhao Song, Ronald Parr, Lawrence Carin |
| 2019 | ICML | Variational Annealing of GANs: A Langevin Perspective. | Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin |
| 2019 | ICML | Gromov-Wasserstein Learning for Graph Matching and Node Embedding. | Hongteng Xu, Dixin Luo, Hongyuan Zha, Lawrence Carin |
| 2019 | NAACL | Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. | Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin |
| 2019 | NAACL | Topic-Guided Variational Auto-Encoder for Text Generation. | Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin |
| 2018 | AAAI | Video Generation From Text. | Yitong Li, Martin Renqiang Min, Dinghan Shen, David E. Carlson, Lawrence Carin |
| 2018 | AAAI | Adaptive Feature Abstraction for Translating Video to Text. | Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin |
| 2018 | AAAI | Deconvolutional Latent-Variable Model for Text Sequence Matching. | Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin |
| 2018 | AAAI | Zero-Shot Learning via Class-Conditioned Deep Generative Models. | Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin |
| 2018 | ACL | NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. | Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao, Lawrence Carin |
| 2018 | ACL | Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms. | Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin |
| 2018 | ACL | Joint Embedding of Words and Labels for Text Classification. | Guoyin Wang, Chunyuan Li, Wenlin Wang, Yizhe Zhang, Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin |
| 2018 | AISTATS | Symmetric Variational Autoencoder and Connections to Adversarial Learning. | Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin |
| 2018 | AISTATS | Topic Compositional Neural Language Model. | Wenlin Wang, Zhe Gan, Wenqi Wang, Dinghan Shen, Jiaji Huang, Wei Ping, Sanjeev Satheesh, Lawrence Carin |
| 2018 | AISTATS | Benefits from Superposed Hawkes Processes. | Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin |
| 2018 | AISTATS | Learning Structural Weight Uncertainty for Sequential Decision-Making. | Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin |
| 2018 | AMIA | The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research. | Shelley A. Rusincovitch, Lisa Wruck, Ricardo Henao, Larisa Rodgers, Allison Dunning, Peter Merrill, Hillary Mulder, Robert Overton, Matthew Phelan, Erich Huang, Lawrence Carin, Michael J. Pencina |
| 2018 | CVPR | Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration. | Xinyuan Zhang, Xin Yuan, Lawrence Carin |
| 2018 | EMNLP | Learning Context-Aware Convolutional Filters for Text Processing. | Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin |
| 2018 | EMNLP | Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. | Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin |
| 2018 | ICML | Adversarial Time-to-Event Modeling. | Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao |
| 2018 | ICML | Continuous-Time Flows for Efficient Inference and Density Estimation. | Changyou Chen, Chunyuan Li, Liquan Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin |
| 2018 | ICML | Variational Inference and Model Selection with Generalized Evidence Bounds. | Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin |
| 2018 | ICML | JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets. | Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin |
| 2018 | ICML | Chi-square Generative Adversarial Network. | Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin |
| 2018 | ICML | Learning Registered Point Processes from Idiosyncratic Observations. | Hongteng Xu, Lawrence Carin, Hongyuan Zha |
| 2018 | ICML | Policy Optimization as Wasserstein Gradient Flows. | Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin |
| 2018 | IJCAI | Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. | Hongteng Xu, Dixin Luo, Lawrence Carin |
| 2017 | AAAI | Unsupervised Learning with Truncated Gaussian Graphical Models. | Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin |
| 2017 | ACL | Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling. | Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin |
| 2017 | AISTATS | Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis. | Andrew Stevens, Yunchen Pu, Yannan Sun, Gregory Spell, Lawrence Carin |
| 2017 | AISTATS | Learning Structured Weight Uncertainty in Bayesian Neural Networks. | Shengyang Sun, Changyou Chen, Lawrence Carin |
| 2017 | AMIA | Guiding Principles for the Duke Connected Care Predictive Modeling Pilot. | Eugenie Komives, Shelley A. Rusincovitch, John Paat, Lawrence Carin, Daniel Costello, Michael Gao, Bradley G. Hammill, Ricardo Henao, Nigel B. Neely, Ursula Rogers, Devdutta Sangvai, Mary Schilder, Erich Huang |
| 2017 | AMIA | Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population. | Shelley A. Rusincovitch, Ricardo Henao, Michael Gao, Lawrence Carin, Ursula Rogers, Nigel B. Neely, Mary Schilder, Daniel Costello, Eugenie Komives, Erich Huang |
| 2017 | CVPR | Semantic Compositional Networks for Visual Captioning. | Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng |
| 2017 | EMNLP | Learning Generic Sentence Representations Using Convolutional Neural Networks. | Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin |
| 2017 | ICLR | Adaptive Feature Abstraction for Translating Video to Language. | Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin |
| 2017 | ICML | Deep Generative Models for Relational Data with Side Information. | Changwei Hu, Piyush Rai, Lawrence Carin |
| 2017 | ICML | Stochastic Gradient Monomial Gamma Sampler. | Yizhe Zhang, Changyou Chen, Zhe Gan, Ricardo Henao, Lawrence Carin |
| 2017 | ICML | Adversarial Feature Matching for Text Generation. | Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin |
| 2017 | KDD | Evaluating U.S. Electoral Representation with a Joint Statistical Model of Congressional Roll-Calls, Legislative Text, and Voter Registration Data. | Zhengming Xing, Sunshine Hillygus, Lawrence Carin |
| 2016 | AAAI | Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks. | Chunyuan Li, Changyou Chen, David E. Carlson, Lawrence Carin |
| 2016 | AAAI | High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models. | Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin |
| 2016 | AAAI | Learning a Hybrid Architecture for Sequence Regression and Annotation. | Yizhe Zhang, Ricardo Henao, Lawrence Carin, Jianling Zhong, Alexander J. Hartemink |
| 2016 | AISTATS | Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization. | Changyou Chen, David E. Carlson, Zhe Gan, Chunyuan Li, Lawrence Carin |
| 2016 | AISTATS | Variational Gaussian Copula Inference. | Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin |
| 2016 | AISTATS | Non-negative Matrix Factorization for Discrete Data with Hierarchical Side-Information. | Changwei Hu, Piyush Rai, Lawrence Carin |
| 2016 | AISTATS | Topic-Based Embeddings for Learning from Large Knowledge Graphs. | Changwei Hu, Piyush Rai, Lawrence Carin |
| 2016 | AISTATS | Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization. | Yan Kaganovsky, Ikenna Odinaka, David E. Carlson, Lawrence Carin |
| 2016 | AISTATS | A Deep Generative Deconvolutional Image Model. | Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin |
| 2016 | AISTATS | Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization. | Zhao Song, Ricardo Henao, David E. Carlson, Lawrence Carin |
| 2016 | CVPR | Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification. | Chunyuan Li, Andrew Stevens, Changyou Chen, Yunchen Pu, Zhe Gan, Lawrence Carin |
| 2016 | ICASSP | A general framework for reconstruction and classification from compressive measurements with side information. | Liming Wang, Francesco Renna, Xin Yuan, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin |
| 2016 | ICDM | Dynamic Poisson Factor Analysis. | Yizhe Zhang, Yue Zhao, Lawrence David, Ricardo Henao, Lawrence Carin |
| 2016 | ICML | Factored Temporal Sigmoid Belief Networks for Sequence Learning. | Jiaming Song, Zhe Gan, Lawrence Carin |
| 2016 | ICML | Nonlinear Statistical Learning with Truncated Gaussian Graphical Models. | Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin |
| 2016 | IJCAI | Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks. | Yizhe Zhang, Ricardo Henao, Chunyuan Li, Lawrence Carin |
| 2015 | AAAI | Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data. | Wenzhao Lian, Piyush Rai, Esther Salazar, Lawrence Carin |
| 2015 | AAAI | Leveraging Features and Networks for Probabilistic Tensor Decomposition. | Piyush Rai, Yingjian Wang, Lawrence Carin |
| 2015 | AAAI | Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision. | Yi Zhen, Piyush Rai, Hongyuan Zha, Lawrence Carin |
| 2015 | AISTATS | Stochastic Spectral Descent for Restricted Boltzmann Machines. | David E. Carlson, Volkan Cevher, Lawrence Carin |
| 2015 | AISTATS | Learning Deep Sigmoid Belief Networks with Data Augmentation. | Zhe Gan, Ricardo Henao, David E. Carlson, Lawrence Carin |
| 2015 | ICML | Scalable Deep Poisson Factor Analysis for Topic Modeling. | Zhe Gan, Changyou Chen, Ricardo Henao, David E. Carlson, Lawrence Carin |
| 2015 | ICML | A Multitask Point Process Predictive Model. | Wenzhao Lian, Ricardo Henao, Vinayak A. Rao, Joseph E. Lucas, Lawrence Carin |
| 2015 | ICML | Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood. | Xin Yuan, Ricardo Henao, Ephraim Tsalik, Raymond Langley, Lawrence Carin |
| 2015 | IJCAI | Stick-Breaking Policy Learning in Dec-POMDPs. | Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How |
| 2015 | IJCAI | Scalable Probabilistic Tensor Factorization for Binary and Count Data. | Piyush Rai, Changwei Hu, Matthew Harding, Lawrence Carin |
| 2015 | ISIT | Classification and reconstruction of compressed GMM signals with side information. | Francesco Renna, Liming Wang, Xin Yuan, Jianbo Yang, Galen Reeves, A. Robert Calderbank, Lawrence Carin, Miguel R. D. Rodrigues |
| 2015 | ISIT | A concentration-of-measure inequality for multiple-measurement models. | Liming Wang, Jiaji Huang, Xin Yuan, Volkan Cevher, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin |
| 2015 | UAI | Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors. | Changwei Hu, Piyush Rai, Lawrence Carin |
| 2014 | AISTATS | Latent Gaussian Models for Topic Modeling. | Changwei Hu, Eunsu Ryu, David E. Carlson, Yingjian Wang, Lawrence Carin |
| 2014 | CVPR | Low-Cost Compressive Sensing for Color Video and Depth. | Xin Yuan, Patrick Llull, Xuejun Liao, Jianbo Yang, David J. Brady, Guillermo Sapiro, Lawrence Carin |
| 2014 | CVPR | Multi-shot Imaging: Joint Alignment, Deblurring, and Resolution-Enhancement. | Haichao Zhang, Lawrence Carin |
| 2014 | ICML | Modeling Correlated Arrival Events with Latent Semi-Markov Processes. | Wenzhao Lian, Vinayak A. Rao, Brian Eriksson, Lawrence Carin |
| 2014 | ICML | Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors. | Piyush Rai, Yingjian Wang, Shengbo Guo, Gary Chen, David B. Dunson, Lawrence Carin |
| 2014 | ICML | Nonlinear Information-Theoretic Compressive Measurement Design. | Liming Wang, Abolfazl Razi, Miguel R. D. Rodrigues, A. Robert Calderbank, Lawrence Carin |
| 2013 | AMIA | Patient Clustering with Uncoded Text in Electronic Medical Records. | Ricardo Henao, Jared Murray, Geoffrey S. Ginsburg, Lawrence Carin, Joseph E. Lucas |
| 2013 | EDM | Test-size Reduction for Concept Estimation. | Divyanshu Vats, Christoph Studer, Andrew S. Lan, Lawrence Carin, Richard G. Baraniuk |
| 2013 | ICASSP | Compressive sensing for incoherent imaging systems with optical constraints. | Francesco Renna, Miguel R. D. Rodrigues, Minhua Chen, A. Robert Calderbank, Lawrence Carin |
| 2013 | ICIP | Gaussian mixture model for video compressive sensing. | Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, Guillermo Sapiro, David J. Brady, Lawrence Carin |
| 2013 | ICIP | Adaptive temporal compressive sensing for video. | Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David J. Brady, Lawrence Carin |
| 2013 | ICML | Exploring the Mind: Integrating Questionnaires and fMRI. | Esther Salazar, Ryan Bogdan, Adam Gorka, Ahmad Hariri, Lawrence Carin |
| 2013 | IJCAI | Online Expectation Maximization for Reinforcement Learning in POMDPs. | Miao Liu, Xuejun Liao, Lawrence Carin |
| 2013 | ISIT | Generalized Bregman divergence and gradient of mutual information for vector Poisson channels. | Liming Wang, Miguel R. D. Rodrigues, Lawrence Carin |
| 2012 | ICASSP | How to focus the discriminative power of a dictionary. | William R. Carson, Miguel R. D. Rodrigues, Minhua Chen, Lawrence Carin, A. Robert Calderbank |
| 2012 | ICASSP | Adapted statistical compressive sensing: Learning to sense gaussian mixture models. | Julio Martin Duarte-Carvajalino, Guoshen Yu, Lawrence Carin, Guillermo Sapiro |
| 2012 | ICASSP | Online Bayesian dictionary learning for large datasets. | Lingbo Li, Jorge G. Silva, Mingyuan Zhou, Lawrence Carin |
| 2012 | ICML | Communications Inspired Linear Discriminant Analysis. | Minhua Chen, William R. Carson, Miguel R. D. Rodrigues, Lawrence Carin, A. Robert Calderbank |
| 2012 | ICML | Cross-Domain Multitask Learning with Latent Probit Models. | Shaobo Han, Xuejun Liao, Lawrence Carin |
| 2012 | ICML | Inferring Latent Structure From Mixed Real and Categorical Relational Data. | Esther Salazar, Lawrence Carin |
| 2012 | ICML | Levy Measure Decompositions for the Beta and Gamma Processes. | Yingjian Wang, Lawrence Carin |
| 2012 | ICML | Lognormal and Gamma Mixed Negative Binomial Regression. | Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin |
| 2012 | KDD | The contextual focused topic model. | Xu Chen, Mingyuan Zhou, Lawrence Carin |
| 2012 | KDD | Active learning for online bayesian matrix factorization. | Jorge G. Silva, Lawrence Carin |
| 2012 | UAI | Nested Dictionary Learning for Hierarchical Organization of Imagery and Text. | Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin |
| 2011 | FUSION | Non-parametric Bayesian modeling and fusion of spatio-temporal information sources. | Priyadip Ray, Lawrence Carin |
| 2011 | ICASSP | Bayesian topic models for describing computer network behaviors. | Christopher Cramer, Lawrence Carin |
| 2011 | ICASSP | Nonparametric Bayesian feature selection for multi-task learning. | Hui Li, Xuejun Liao, Lawrence Carin |
| 2011 | ICASSP | Joint dictionary learning and topic modeling for image clustering. | Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Carin |
| 2011 | ICASSP | Time-evolving modeling of social networks. | Eric Wang, Jorge G. Silva, Rebecca Willett, Lawrence Carin |
| 2011 | ICASSP | Covariate-dependent dictionary learning and sparse coding. | Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, David B. Dunson, Lawrence Carin |
| 2011 | ICML | Topic Modeling with Nonparametric Markov Tree. | Haojun Chen, David B. Dunson, Lawrence Carin |
| 2011 | ICML | The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. | Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin |
| 2011 | ICML | The Infinite Regionalized Policy Representation. | Miao Liu, Xuejun Liao, Lawrence Carin |
| 2011 | ICML | On the Integration of Topic Modeling and Dictionary Learning. | Lingbo Li, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin |
| 2011 | ICML | Variational Inference for Stick-Breaking Beta Process Priors. | John W. Paisley, Lawrence Carin, David M. Blei |
| 2011 | ICML | Tree-Structured Infinite Sparse Factor Model. | XianXing Zhang, David B. Dunson, Lawrence Carin |
| 2010 | ICASSP | Sparse linear regression with beta process priors. | Bo Chen, John W. Paisley, Lawrence Carin |
| 2010 | ICASSP | A nonparametric Bayesian model for kernel matrix completion. | John W. Paisley, Lawrence Carin |
| 2010 | ICIP | Discriminative sparse representations in hyperspectral imagery. | Alexey Castrodad, Zhengming Xing, John B. Greer, Edward Bosch, Lawrence Carin, Guillermo Sapiro |
| 2010 | ICIP | Nonparametric image interpolation and dictionary learning using spatially-dependent Dirichlet and beta process priors. | John W. Paisley, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin |
| 2010 | ICML | A Stick-Breaking Construction of the Beta Process. | John W. Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Lawrence Carin |
| 2009 | ICASSP | Active learning for semi-supervised multi-task learning. | Hui Li, Xuejun Liao, Lawrence Carin |
| 2009 | ICASSP | Dirichlet process mixture models with multiple modalities. | John W. Paisley, Lawrence Carin |
| 2009 | ICASSP | Music analysis with a Bayesian dynamic model. | Lu Ren, David B. Dunson, Scott Lindroth, Lawrence Carin |
| 2009 | ICASSP | Multi-task classification with infinite local experts. | Chunping Wang, Qi An, Lawrence Carin, David B. Dunson |
| 2009 | ICML | Nonparametric factor analysis with beta process priors. | John W. Paisley, Lawrence Carin |
| 2008 | ICML | Hierarchical kernel stick-breaking process for multi-task image analysis. | Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin, David B. Dunson |
| 2008 | ICML | Multi-task compressive sensing with Dirichlet process priors. | Yuting Qi, Dehong Liu, David B. Dunson, Lawrence Carin |
| 2008 | ICML | The dynamic hierarchical Dirichlet process. | Lu Ren, David B. Dunson, Lawrence Carin |
| 2007 | AAAI | Point-Based Policy Iteration. | Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, Lawrence Carin |
| 2007 | ICASSP | Wideband Array Imaging of a Target Situated in an Unknown Random Media. | Dehong Liu, Lawrence Carin |
| 2007 | ICASSP | Learning Classifiers on a Partially Labeled Data Manifold. | Qiuhua Liu, Xuejun Liao, Lawrence Carin |
| 2007 | ICASSP | Multi-Aspect Target Classification and Detection via the Infinite Hidden Markov Model. | Kai Ni, Yuting Qi, Lawrence Carin |
| 2007 | ICASSP | Dirichlet Process HMM Mixture Models with Application to Music Analysis. | Yuting Qi, John William Paisley, Lawrence Carin |
| 2007 | ICIP | Infinite Hidden Markov Models and ISA Features for Unusual-Event Detection in Video. | Iulian Pruteanu-Malinici, Lawrence Carin |
| 2007 | ICML | Bayesian compressive sensing and projection optimization. | Shihao Ji, Lawrence Carin |
| 2007 | ICML | Quadratically gated mixture of experts for incomplete data classification. | Xuejun Liao, Hui Li, Lawrence Carin |
| 2007 | ICML | Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. | Kai Ni, Lawrence Carin, David B. Dunson |
| 2007 | ICML | The matrix stick-breaking process for flexible multi-task learning. | Ya Xue, David B. Dunson, Lawrence Carin |
| 2006 | AAAI | Incremental Least Squares Policy Iteration for POMDPs. | Hui Li, Xuejun Liao, Lawrence Carin |
| 2006 | ICASSP | Homotopy-Based Semi-Supervised Hidden Markov Tree for Texture Analysis. | Nilanjan Dasgupta, Shihao Ji, Lawrence Carin |
| 2006 | ICASSP | A Reward-Directed Bayesian Classifier. | Hui Li, Xuejun Liao, Lawrence Carin |
| 2006 | ICML | Region-based value iteration for partially observable Markov decision processes. | Hui Li, Xuejun Liao, Lawrence Carin |
| 2005 | CVPR | A Bayesian Approach to Unsupervised Feature Selection and Density Estimation Using Expectation Propagation. | Shaorong Chang, Nilanjan Dasgupta, Lawrence Carin |
| 2005 | ICML | Logistic regression with an auxiliary data source. | Xuejun Liao, Ya Xue, Lawrence Carin |
| 2005 | ICML | Incomplete-data classification using logistic regression. | David Williams, Xuejun Liao, Ya Xue, Lawrence Carin |
| 2004 | ICASSP | Kernel matching pursuits prioritization of wavelet coefficients for SPIHT image coding. | Shaorong Chang, Lawrence Carin |
| 2004 | ICASSP | Time-reversal imaging and classification for distant targets in a shallow water channel. | Nilanjan Dasgupta, Lawrence Carin |
| 2004 | ICASSP | Adaptive multi-aspect target classification and detection with hidden Markov models. | Shihao Ji, Xuejun Liao, Lawrence Carin |
| 2004 | ICASSP | Airport detection in large aerial optical imagery. | Dehong Liu, Lihan He, Lawrence Carin |
| 2004 | ICASSP | Active selection of labeled data for target detection. | Yan Zhang, Xuejun Liao, Esther Dur, Lawrence Carin |
| 2003 | DCC | Rate-Distortion Bound for Joint Compression and Classification. | Yanting Dong, Lawrence Carin |
| 2003 | ICASSP | Context-based graphical modeling for wavelet domain signal processing. | Nilanjan Dasgupta, Lawrence Carin |
| 2003 | ICASSP | ICA with multiple quadratic constraints. | Xuejun Liao, Lawrence Carin |
| 2003 | ICASSP | Time-reversal imaging for wideband underwater target classification. | Hongwei Liu, Nilanjan Dasgupta, Lawrence Carin |
| 2003 | RECOMB | Joint classifier and feature optimization for cancer diagnosis using gene expression data. | Balaji Krishnapuram, Lawrence Carin, Alexander J. Hartemink |
| 2002 | ICASSP | Infrared-image classification using support vector machines. | Shaorong Chang, Nasser M. Nasrabadi, Lawrence Carin |
| 2002 | ICASSP | Support Vector Machines for improved multiaspect target recognition using the fisher kernel scores of Hidden Markov Models. | Balaji Krishnapuram, Lawrence Carin |
| 2002 | ICASSP | ICA and PLS modeling for functional analysis and drug sensitivity for DNA microarray signals. | Xuejun Liao, Nilanjan Dasgupta, Simon M. Lin, Lawrence Carin |
| 2002 | ICASSP | Class-based target classification in shallow water channel based on Hidden Markov Model. | Hongwei Liu, Lawrence Carin |
| 2002 | ICASSP | HMM-based multiresolution image segmentation. | Jiuliu Lu, Lawrence Carin |
| 2002 | IGARSS | Model-based statistical sensor fusion for unexploded ordnance detection. | Leslie M. Collins, Yizhe Zhang, Lawrence Carin |
| 2001 | ICASSP | Infrared-image classification using expansion matching filters and hidden Markov trees. | Priya Bharadwaj, Paul Runkle, Lawrence Carin |
| 2001 | ICASSP | Class-based identification of underwater targets using hidden Markov models. | Nilanjan Dasgupta, Paul Runkle, Lawrence Carin |
| 2001 | ICASSP | Markov modeling of transient scattering and its application in multi-aspect target classification. | Yanting Dong, Paul Runkle, Lawrence Carin |
| 2001 | ICASSP | Identification of ground targets from sequential HRR radar signatures. | Xuejun Liao, Paul Runkle, Yan Jiao, Lawrence Carin |
| 1999 | ICASSP | Physics-based classification of targets in SAR imagery using subaperture sequences. | Lawrence Carin, Gary Ybarra, Priya Bharadwaj, Paul Runkle |
| 1999 | ICASSP | Classification of landmine-like metal targets using wideband electromagnetic induction. | Ping Gao, Leslie M. Collins, Norbert Geng, Lawrence Carin, Dean A. Keiswetter, I. J. Won |
| 1999 | ICASSP | Multi-aspect target identification with wave-based matching pursuits and continuous hidden Markov models. | Paul Runkle, Lawrence Carin |
| 1997 | ICANN | Random Neural Network Recognition of Shaped Objects in Strong Clutter. | Hakan Bakircioglu, Erol Gelenbe, Lawrence Carin |