| Reconsidering generative objectives for counterfactual reasoning D Lu, C Tao, J Chen, F Li, F Guo, L Carin Advances in Neural Information Processing Systems 33, 21539-21553, 2020 | 33 | 2020 |
| Simpler, faster, stronger: Breaking the log-k curse on contrastive learners with flatnce J Chen, Z Gan, X Li, Q Guo, L Chen, S Gao, T Chung, Y Xu, B Zeng, W Lu, ... arXiv preprint arXiv:2107.01152, 2021 | 28 | 2021 |
| Variational annealing of GANs: A Langevin perspective C Tao, S Dai, L Chen, K Bai, J Chen, C Liu, R Zhang, G Bobashev, ... International conference on machine learning, 6176-6185, 2019 | 23 | 2019 |
| On fenchel mini-max learning C Tao, L Chen, S Dai, J Chen, K Bai, D Wang, J Feng, W Lu, G Bobashev, ... Advances in Neural Information Processing Systems 32, 2019 | 23 | 2019 |
| Tight mutual information estimation with contrastive fenchel-legendre optimization Q Guo, J Chen, D Wang, Y Yang, X Deng, J Huang, L Carin, F Li, C Tao Advances in Neural Information Processing Systems 35, 28319-28334, 2022 | 17 | 2022 |
| Predictive value of early autism detection models based on electronic health record data collected before age 1 year MM Engelhard, R Henao, SI Berchuck, J Chen, B Eichner, D Herkert, ... JAMA network open 6 (2), e2254303-e2254303, 2023 | 16 | 2023 |
| Supercharging imbalanced data learning with energy-based contrastive representation transfer J Chen, Z Xiu, B Goldstein, R Henao, L Carin, C Tao Advances in neural information processing systems 34, 21229-21243, 2021 | 14 | 2021 |
| Multi-grained knowledge distillation for named entity recognition X Zhou, X Zhang, C Tao, J Chen, B Xu, W Wang, J Xiao Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 13 | 2021 |
| Enhancing early autism prediction based on electronic records using clinical narratives J Chen, M Engelhard, R Henao, S Berchuck, B Eichner, EM Perrin, ... Journal of Biomedical Informatics 144, 104390, 2023 | 11 | 2023 |
| A Wiener causality defined by divergence J Chen, J Feng, W Lu Neural Processing Letters 53, 1773-1794, 2021 | 8 | 2021 |
| Variational inference with holder bounds J Chen, D Lu, Z Xiu, K Bai, L Carin, C Tao arXiv preprint arXiv:2111.02947, 2021 | 6 | 2021 |
| Finite-time consensus learning for decentralized optimization with nonlinear gossiping J Chen, S Wang, L Carin, C Tao arXiv preprint arXiv:2111.02949, 2021 | 3 | 2021 |
| A Wiener causality defined by relative entropy J Chen, J Feng, W Lu Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 3 | 2018 |
| Toward sustainable continual learning: Detection and knowledge repurposing of similar tasks S Wang, Y Choi, J Chen, M El-Khamy, R Henao arXiv preprint arXiv:2210.05751, 2022 | 2 | 2022 |
| On second-order synchronization protocols of multi-agent systems J Chen, T Chen, W Lu 2017 36th Chinese Control Conference (CCC), 8330-8335, 2017 | 2 | 2017 |
| GO Hessian for Expectation-Based Objectives Y Cong, M Zhao, J Li, J Chen, L Carin Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 12060 …, 2021 | 1 | 2021 |
| Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer (Supplementary Material) J Chen, Z Xiu, B Goldstein, R Henao, L Carin, C Tao | | |
| Supplementary Material To “Reconsidering Generative Objectives For Counterfactual Reasoning” D Lu, C Tao, J Chen, F Li, F Guo, L Carin | | |
Chenyang TaoApplied Scientist, Amazon; Former Senior Research Associate, Duke University (Statistics and ECE)Dirección de correo verificada de duke.edu
