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Variational Inference with Holder Bounds


Nov 04, 2021
Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao


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Hölder Bounds for Sensitivity Analysis in Causal Reasoning


Jul 09, 2021
Serge Assaad, Shuxi Zeng, Henry Pfister, Fan Li, Lawrence Carin

* Workshop on the Neglected Assumptions in Causal Inference at the International Conference on Machine Learning (ICML), 2021 

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Imputation-Free Learning from Incomplete Observations


Jul 05, 2021
Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic


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Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE


Jul 02, 2021
Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao


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Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization


Jul 02, 2021
Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao


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Towards Fair Federated Learning with Zero-Shot Data Augmentation


Apr 27, 2021
Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J Liang, Changyou Chen, Lawrence Carin

* Accepted by IEEE CVPR Workshop on Fair, Data Efficient And Trusted Computer Vision 

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Malignancy Prediction and Lesion Identification from Clinical Dermatological Images


Apr 02, 2021
Meng Xia, Meenal K. Kheterpal, Samantha C. Wong, Christine Park, William Ratliff, Lawrence Carin, Ricardo Henao


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Efficient Feature Transformations for Discriminative and Generative Continual Learning


Mar 25, 2021
Vinay Kumar Verma, Kevin J Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin

* Accepted in CVPR 2021 

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Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning


Mar 17, 2021
Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin

* To appear in ICLR 2021 

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FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders


Mar 11, 2021
Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin

* Accepted by the 9th International Conference on Learning Representations (ICLR 2021) 

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