Chenyang Tao

发表

Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications

Paul M. Thompson, Jianfeng Feng, Thomas E. Nichols, 2017, NeuroImage.

Supercharging Imbalanced Data Learning With Causal Representation Transfer pdf

Lawrence Carin, Chenyang Tao, Junya Chen, 2020, ArXiv.

Reconsidering Generative Objectives For Counterfactual Reasoning

Lawrence Carin, Feng Guo, Chenyang Tao, 2020, NeurIPS.

Chi-square Generative Adversarial Network

Jianfeng Feng, Lawrence Carin, Chenyang Tao, 2018, ICML.

Advancing weakly supervised cross-domain alignment with optimal transport pdf

Liqun Chen, Lawrence Carin, Yizhe Zhang, 2020, BMVC.

Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models pdf

Lawrence Carin, Chenyang Tao, Ricardo Henao, 2020, ArXiv.

Adversarial Time-to-Event Modeling

Lawrence Carin, Chenyang Tao, Chunyuan Li, 2018, ICML.

On Fenchel Mini-Max Learning

Jianfeng Feng, Dong Wang, Liqun Chen, 2019, NeurIPS.

Improving Text Generation with Student-Forcing Optimal Transport pdf

Liqun Chen, Lawrence Carin, Qian Yang, 2020, EMNLP.

APo-VAE: Text Generation in Hyperbolic Space pdf

Zhe Gan, Lawrence Carin, Chenyang Tao, 2020, ArXiv.

Canonical kernel dimension reduction

Jianfeng Feng, Chenyang Tao, Chenyang Tao, 2017, Comput. Stat. Data Anal..

Variational Inference and Model Selection with Generalized Evidence Bounds

Lawrence Carin, Chenyang Tao, Liqun Chen, 2018, ICML.

Adversarial Text Generation via Feature-Mover's Distance

Zhe Gan, Liqun Chen, Lawrence Carin, 2018, NeurIPS.

Variational Annealing of GANs: A Langevin Perspective

Chang Liu, Lawrence Carin, Chenyang Tao, 2019, ICML.

Survival Function Matching for Calibrated Time-to-Event Predictions pdf

Lawrence Carin, Chenyang Tao, Ricardo Henao, 2019, ArXiv.

Variational learning of individual survival distributions

Chenyang Tao, Zidi Xiu, Ricardo Henao, 2020, CHIL.

Improving Sequence-to-Sequence Learning via Optimal Transport pdf

Zhe Gan, Haichao Zhang, Liqun Chen, 2019, ICLR.

Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization

Jianfeng Feng, Chenyang Tao, Wei Lin, 2014, Neural Connectomics.

Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning

Guoyin Wang, Liqun Chen, Lawrence Carin, 2020, AAAI.

Improving Textual Network Learning with Variational Homophilic Embeddings

Guoyin Wang, Liqun Chen, Lawrence Carin, 2019, NeurIPS.

Improving Textual Network Embedding with Global Attention via Optimal Transport pdf

Guoyin Wang, Liqun Chen, Lawrence Carin, 2019, ACL.

Calibration and Uncertainty in Neural Time-to-Event Modeling

Lawrence Carin, Chenyang Tao, Ricardo Henao, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Gradient Importance Learning for Incomplete Observations

Lawrence Carin, Chenyang Tao, Miroslav Pajic, 2021 .

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

Zhe Gan, Lawrence Carin, Wenlian Lu, 2021, ArXiv.

Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping pdf

Lawrence Carin, Chenyang Tao, Junya Chen, 2021, ArXiv.

Imputation-Free Learning from Incomplete Observations pdf

Lawrence Carin, Chenyang Tao, Miroslav Pajic, 2021, ArXiv.

APo-VAE: Text Generation in Hyperbolic Space

Zhe Gan, Jingjing Liu, Lawrence Carin, 2020, NAACL.

Counterfactual Representation Learning with Balancing Weights

Lawrence Carin, Chenyang Tao, Ricardo Henao, 2021, AISTATS.

Multi-Grained Knowledge Distillation for Named Entity Recognition

Chenyang Tao, Wei Wang, Junya Chen, 2021, NAACL.

χ 2 Generative Adversarial Network

Jianfeng Feng, Lawrence Carin, Chenyang Tao, 2018 .