Chenyang Tao

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 55

Top Topics

Variational Inference

Weakly Supervised

Text Generation

Top Venues

Publications

Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. ACL (1) (2024)
Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Salman Avestimehr
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. CoRR (2024)
Erum Mushtaq, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning. CoRR (2024)
Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs. CoRR (2024)
Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, Nanyun Peng
On Compositionality and Improved Training of NADO. CoRR (2023)
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen Chandross, Michael J. Pencina, Lawrence Carin, Ricardo Henao
Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Seokhwan Kim, Andy Rosenbaum, Yang Liu, Zhou Yu, Dilek Hakkani-Tur
PLACES: Prompting Language Models for Social Conversation Synthesis. EACL (Findings) (2023)
Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar Sigurdsson, Chenyang Tao, Wenbo Zhao, Tagyoung Chung, Jing Huang, Nanyun Peng
Unsupervised Melody-Guided Lyrics Generation. CoRR (2023)
Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar Sigurdsson, Chenyang Tao, Wenbo Zhao, Tagyoung Chung, Jing Huang, Nanyun Peng
Unsupervised Melody-to-Lyric Generation. CoRR (2023)
Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Seokhwan Kim, Andy Rosenbaum, Yang Liu, Zhou Yu, Dilek Hakkani-Tur
PLACES: Prompting Language Models for Social Conversation Synthesis. CoRR (2023)
Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar Sigurdsson, Chenyang Tao, Wenbo Zhao, Tagyoung Chung, Jing Huang, Nanyun Peng
Unsupervised Melody-to-Lyrics Generation. ACL (1) (2023)
Qitong Gao, Dong Wang, Joshua David Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
Gradient Importance Learning for Incomplete Observations. ICLR (2022)
Maximillian Chen, Alexandros Papangelis, Chenyang Tao, Andy Rosenbaum, Seokhwan Kim, Yang Liu, Zhou Yu, Dilek Hakkani-Tur
Weakly Supervised Data Augmentation Through Prompting for Dialogue Understanding. CoRR (2022)
Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Lawrence Carin, Fan Li, Chenyang Tao
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. NeurIPS (2022)
Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. NeurIPS (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
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE. CoRR (2021)
Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
Counterfactual Representation Learning with Balancing Weights. AISTATS (2021)
Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization. CoRR (2021)
Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
Variational Disentanglement for Rare Event Modeling. AAAI (2021)
Junya Chen, Sijia Wang, Lawrence Carin, Chenyang Tao
Finite-Time Consensus Learning for Decentralized Optimization with Nonlinear Gossiping. CoRR (2021)
Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao
Variational Inference with Holder Bounds. CoRR (2021)
Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
APo-VAE: Text Generation in Hyperbolic Space. NAACL-HLT (2021)
Xuan Zhou, Xiao Zhang, Chenyang Tao, Junya Chen, Bing Xu, Wei Wang, Jing Xiao
Multi-Grained Knowledge Distillation for Named Entity Recognition. NAACL-HLT (2021)
Qitong Gao, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, Miroslav Pajic
Imputation-Free Learning from Incomplete Observations. CoRR (2021)
Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
Variational Disentanglement for Rare Event Modeling. CoRR (2020)
Danni Lu, Chenyang Tao, Junya Chen, Fan Li, Feng Guo, Lawrence Carin
Reconsidering Generative Objectives For Counterfactual Reasoning. NeurIPS (2020)
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
Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) (2020)
Dong Wang, Yuewei Yang, Chenyang Tao, Fanjie Kong, Ricardo Henao, Lawrence Carin
Proactive Pseudo-Intervention: Causally Informed Contrastive Learning For Interpretable Vision Models. CoRR (2020)
Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
Improving Text Generation with Student-Forcing Optimal Transport. CoRR (2020)
Junya Chen, Zidi Xiu, Benjamin Alan Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
Supercharging Imbalanced Data Learning With Causal Representation Transfer. CoRR (2020)
Shuxi Zeng, Serge Assaad, Chenyang Tao, Shounak Datta, Lawrence Carin, Fan Li
Double Robust Representation Learning for Counterfactual Prediction. CoRR (2020)
Zidi Xiu, Chenyang Tao, Ricardo Henao
Variational learning of individual survival distributions. CHIL (2020)
Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu
APo-VAE: Text Generation in Hyperbolic Space. CoRR (2020)
Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI (2020)
Zidi Xiu, Chenyang Tao, Ricardo Henao
Variational Learning of Individual Survival Distributions. CoRR (2020)
Serge Assaad, Shuxi Zeng, Chenyang Tao, Shounak Datta, Nikhil Mehta, Ricardo Henao, Fan Li, Lawrence Carin
Counterfactual Representation Learning with Balancing Weights. CoRR (2020)
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
Advancing weakly supervised cross-domain alignment with optimal transport. BMVC (2020)
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
Weakly supervised cross-domain alignment with optimal transport. CoRR (2020)
Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin
Variational Annealing of GANs: A Langevin Perspective. ICML (2019)
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS (2019)
Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin
On Fenchel Mini-Max Learning. NeurIPS (2019)
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
Improving Textual Network Embedding with Global Attention via Optimal Transport. CoRR (2019)
Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin
Improving Textual Network Embedding with Global Attention via Optimal Transport. ACL (1) (2019)
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR (2019)
Paidamoyo Chapfuwa, Chenyang Tao, Lawrence Carin, Ricardo Henao
Survival Function Matching for Calibrated Time-to-Event Predictions. CoRR (2019)
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) (2019)
Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin
Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR (2019)
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
Adversarial Time-to-Event Modeling. ICML (2018)
Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin
Adversarial Text Generation via Feature-Mover's Distance. NeurIPS (2018)
Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin
Variational Inference and Model Selection with Generalized Evidence Bounds. ICML (2018)
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Courtney Page, Benjamin Alan Goldstein, Lawrence Carin, Ricardo Henao
Adversarial Time-to-Event Modeling. CoRR (2018)
Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin
Chi-square Generative Adversarial Network. ICML (2018)
Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin
Adversarial Text Generation via Feature-Mover's Distance. CoRR (2018)
Chenyang Tao, Jianfeng Feng
Canonical kernel dimension reduction. Comput. Stat. Data Anal. 107 (2017)
Chenyang Tao, Thomas E. Nichols, Xue Hua, Christopher R. K. Ching, Edmund T. Rolls, Paul M. Thompson, Jianfeng Feng
Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications. NeuroImage 144 (2017)
Chenyang Tao, Wei Lin, Jianfeng Feng
Reconstruction of Excitatory Neuronal Connectivity via Metric Score Pooling and Regularization. Neural Connectomics (2014)