Related Events (a corresponding poster, oral, or spotlight)

• 2007 Spotlight: Semi-Supervised Multitask Learning »
  Tue. Dec 4th 05:50 -- 06:00 PM Room

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• 2021 Spotlight: Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer »
  Junya Chen · Zidi Xiu · Benjamin Goldstein · Ricardo Henao · Lawrence Carin · Chenyang Tao
• 2022 : CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks »
  Sakshi Varshney · Vinay Verma · Srijith PK · Piyush Rai · Lawrence Carin
• 2021 Poster: Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer »
  Junya Chen · Zidi Xiu · Benjamin Goldstein · Ricardo Henao · Lawrence Carin · Chenyang Tao
• 2021 Poster: CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks »
  Sakshi Varshney · Vinay Kumar Verma · P. K. Srijith · Lawrence Carin · Piyush Rai
• 2020 Poster: GAN Memory with No Forgetting »
  Yulai Cong · Miaoyun Zhao · Jianqiao Li · Sijia Wang · Lawrence Carin
• 2020 Poster: Reconsidering Generative Objectives For Counterfactual Reasoning »
  Danni Lu · Chenyang Tao · Junya Chen · Fan Li · Feng Guo · Lawrence Carin
• 2020 Poster: AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning »
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• 2020 Poster: Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability »
  Nathan Inkawhich · Kevin J Liang · Binghui Wang · Matthew Inkawhich · Lawrence Carin · Yiran Chen
• 2020 Poster: Calibrating CNNs for Lifelong Learning »
  Pravendra Singh · Vinay Kumar Verma · Pratik Mazumder · Lawrence Carin · Piyush Rai
• 2019 Poster: Improving Textual Network Learning with Variational Homophilic Embeddings »
  Wenlin Wang · Chenyang Tao · Zhe Gan · Guoyin Wang · Liqun Chen · Xinyuan Zhang · Ruiyi Zhang · Qian Yang · Ricardo Henao · Lawrence Carin
• 2019 Poster: Ouroboros: On Accelerating Training of Transformer-Based Language Models »
  Qian Yang · Zhouyuan Huo · Wenlin Wang · Lawrence Carin
• 2019 Poster: Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching »
  Hongteng Xu · Dixin Luo · Lawrence Carin
• 2019 Poster: Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods »
  Kevin J Liang · Guoyin Wang · Yitong Li · Ricardo Henao · Lawrence Carin
• 2019 Poster: Certified Adversarial Robustness with Additive Noise »
  Bai Li · Changyou Chen · Wenlin Wang · Lawrence Carin
• 2019 Poster: On Fenchel Mini-Max Learning »
  Chenyang Tao · Liqun Chen · Shuyang Dai · Junya Chen · Ke Bai · Dong Wang · Jianfeng Feng · Wenlian Lu · Georgiy Bobashev · Lawrence Carin
• 2018 Poster: Adversarial Text Generation via Feature-Mover's Distance »
  Liqun Chen · Shuyang Dai · Chenyang Tao · Haichao Zhang · Zhe Gan · Dinghan Shen · Yizhe Zhang · Guoyin Wang · Dinghan Shen · Lawrence Carin
• 2018 Poster: Distilled Wasserstein Learning for Word Embedding and Topic Modeling »
  Hongteng Xu · Wenlin Wang · Wei Liu · Lawrence Carin
• 2018 Poster: Diffusion Maps for Textual Network Embedding »
  Xinyuan Zhang · Yitong Li · Dinghan Shen · Lawrence Carin
• 2018 Spotlight: Diffusion Maps for Textual Network Embedding »
  Xinyuan Zhang · Yitong Li · Dinghan Shen · Lawrence Carin
• 2017 Spotlight: Targeting EEG/LFP Synchrony with Neural Nets »
  Yitong Li · michael Murias · samantha Major · geraldine Dawson · Kafui Dzirasa · Lawrence Carin · David Carlson
• 2017 Poster: Targeting EEG/LFP Synchrony with Neural Nets »
  Yitong Li · michael Murias · samantha Major · geraldine Dawson · Kafui Dzirasa · Lawrence Carin · David Carlson
• 2017 Poster: Triangle Generative Adversarial Networks »
  Zhe Gan · Liqun Chen · Weiyao Wang · Yuchen Pu · Yizhe Zhang · Hao Liu · Chunyuan Li · Lawrence Carin
• 2017 Poster: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching »
  Chunyuan Li · Hao Liu · Changyou Chen · Yuchen Pu · Liqun Chen · Ricardo Henao · Lawrence Carin
• 2017 Poster: An inner-loop free solution to inverse problems using deep neural networks »
  Kai Fan · Qi Wei · Lawrence Carin · Katherine Heller
• 2017 Poster: VAE Learning via Stein Variational Gradient Descent »
  Yuchen Pu · Zhe Gan · Ricardo Henao · Chunyuan Li · Shaobo Han · Lawrence Carin
• 2017 Poster: Deconvolutional Paragraph Representation Learning »
  Yizhe Zhang · Dinghan Shen · Guoyin Wang · Zhe Gan · Ricardo Henao · Lawrence Carin
• 2017 Poster: Adversarial Symmetric Variational Autoencoder »
  Yuchen Pu · Weiyao Wang · Ricardo Henao · Liqun Chen · Zhe Gan · Chunyuan Li · Lawrence Carin
• 2017 Poster: A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks »
  Qinliang Su · xuejun Liao · Lawrence Carin
• 2017 Poster: Scalable Model Selection for Belief Networks »
  Zhao Song · Yusuke Muraoka · Ryohei Fujimaki · Lawrence Carin
• 2017 Poster: Cross-Spectral Factor Analysis »
  Neil Gallagher · Kyle Ulrich · Austin Talbot · Kafui Dzirasa · Lawrence Carin · David Carlson
• 2016 Poster: Towards Unifying Hamiltonian Monte Carlo and Slice Sampling »
  Yizhe Zhang · Xiangyu Wang · Changyou Chen · Ricardo Henao · Kai Fan · Lawrence Carin
• 2016 Poster: Variational Autoencoder for Deep Learning of Images, Labels and Captions »
  Yunchen Pu · Zhe Gan · Ricardo Henao · Xin Yuan · Chunyuan Li · Andrew Stevens · Lawrence Carin
• 2016 Poster: Linear Feature Encoding for Reinforcement Learning »
  Zhao Song · Ronald Parr · Xuejun Liao · Lawrence Carin
• 2016 Poster: Stochastic Gradient MCMC with Stale Gradients »
  Changyou Chen · Nan Ding · Chunyuan Li · Yizhe Zhang · Lawrence Carin
• 2015 Poster: GP Kernels for Cross-Spectrum Analysis »
  Kyle R Ulrich · David Carlson · Kafui Dzirasa · Lawrence Carin
• 2015 Poster: Deep Poisson Factor Modeling »
  Ricardo Henao · Zhe Gan · James Lu · Lawrence Carin
• 2015 Poster: Preconditioned Spectral Descent for Deep Learning »
  David Carlson · Edo Collins · Ya-Ping Hsieh · Lawrence Carin · Volkan Cevher
• 2015 Poster: Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings »
  Piyush Rai · Changwei Hu · Ricardo Henao · Lawrence Carin
• 2015 Spotlight: Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings »
  Piyush Rai · Changwei Hu · Ricardo Henao · Lawrence Carin
• 2015 Poster: On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators »
  Changyou Chen · Nan Ding · Lawrence Carin
• 2015 Poster: Deep Temporal Sigmoid Belief Networks for Sequence Modeling »
  Zhe Gan · Chunyuan Li · Ricardo Henao · David Carlson · Lawrence Carin
• 2014 Poster: Analysis of Brain States from Multi-Region LFP Time-Series »
  Kyle R Ulrich · David Carlson · Wenzhao Lian · Jana S Borg · Kafui Dzirasa · Lawrence Carin
• 2014 Poster: Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling »
  Ricardo Henao · Xin Yuan · Lawrence Carin
• 2014 Poster: Compressive Sensing of Signals from a GMM with Sparse Precision Matrices »
  Jianbo Yang · Xuejun Liao · Minhua Chen · Lawrence Carin
• 2014 Poster: On the relations of LFPs & Neural Spike Trains »
  David Carlson · Jana Schaich Borg · Kafui Dzirasa · Lawrence Carin
• 2014 Poster: Dynamic Rank Factor Model for Text Streams »
  Shaobo Han · Lin Du · Esther Salazar · Lawrence Carin
• 2013 Poster: Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture »
  Trevor Campbell · Miao Liu · Brian Kulis · Jonathan How · Lawrence Carin
• 2013 Poster: Designed Measurements for Vector Count Data »
  Liming Wang · David Carlson · Miguel Rodrigues · David Wilcox · Robert Calderbank · Lawrence Carin
• 2013 Poster: Integrated Non-Factorized Variational Inference »
  Shaobo Han · Xuejun Liao · Lawrence Carin
• 2013 Poster: Real-Time Inference for a Gamma Process Model of Neural Spiking »
  David Carlson · Vinayak Rao · Joshua T Vogelstein · Lawrence Carin
• 2012 Workshop: Bayesian Nonparametric Models For Reliable Planning And Decision-Making Under Uncertainty »
  Jonathan How · Lawrence Carin · John Fisher III · Michael Jordan · Alborz Geramifard
• 2012 Poster: Joint Modeling of a Matrix with Associated Text via Latent Binary Features »
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• 2012 Poster: Augment-and-Conquer Negative Binomial Processes »
  Mingyuan Zhou · Lawrence Carin
• 2012 Spotlight: Augment-and-Conquer Negative Binomial Processes »
  Mingyuan Zhou · Lawrence Carin
• 2011 Poster: On the Analysis of Multi-Channel Neural Spike Data »
  Bo Chen · David Carlson · Lawrence Carin
• 2011 Poster: The Kernel Beta Process »
  Lu Ren · Yingjian Wang · David B Dunson · Lawrence Carin
• 2011 Spotlight: The Kernel Beta Process »
  Lu Ren · Yingjian Wang · David B Dunson · Lawrence Carin
• 2011 Poster: Hierarchical Topic Modeling for Analysis of Time-Evolving Personal Choices »
  XianXing Zhang · David B Dunson · Lawrence Carin
• 2010 Poster: Joint Analysis of Time-Evolving Binary Matrices and Associated Documents »
  Eric X Wang · Dehong Liu · Jorge G Silva · David B Dunson · Lawrence Carin
• 2009 Poster: A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation »
  Lan Du · Lu Ren · David B Dunson · Lawrence Carin
• 2009 Poster: Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations »
  Mingyuan Zhou · Haojun Chen · John Paisley · Lu Ren · Guillermo Sapiro · Lawrence Carin
• 2009 Poster: Learning to Explore and Exploit in POMDPs »
  Chenghui Cai · Xuejun Liao · Lawrence Carin
• 2008 Workshop: Cost Sensitive Learning »
  Balaji R Krishnapuram · Shipeng Yu · Oksana Yakhnenko · R. Bharat Rao · Lawrence Carin