Follow
Jiayao Zhang
Jiayao Zhang
Other namesJiayao Zhang 张家耀
Verified email at seas.upenn.edu - Homepage
Title
Cited by
Cited by
Year
Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning
J Zhang, G Zhu, RW Heath Jr, K Huang
arXiv preprint arXiv:1808.02229, 2018
492018
Automatic recognition of space-time constellations by learning on the Grassmann manifold
Y Du, G Zhu, J Zhang, K Huang
IEEE Transactions on Signal Processing 66 (22), 6031-6046, 2018
152018
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
J Zhang, H Zhang, WJ Su, D Roth
Thirty-ninth International Conference on Machine Learning (ICML), 2022
11*2022
Fifa: Making fairness more generalizable in classifiers trained on imbalanced data
Z Deng, J Zhang, L Zhang, T Ye, Y Coley, WJ Su, J Zou
arXiv preprint arXiv:2206.02792, 2022
92022
COLA: contextualized commonsense causal reasoning from the causal inference perspective
Z Wang, QV Do, H Zhang, J Zhang, W Wang, T Fang, Y Song, GY Wong, ...
arXiv preprint arXiv:2305.05191, 2023
82023
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
J Zhang, H Wang, WJ Su
Advances in Neural Information Processing Systems 34, 2021
52021
Investigating fairness disparities in peer review: A language model enhanced approach
J Zhang, H Zhang, Z Deng, D Roth
arXiv preprint arXiv:2211.06398, 2022
42022
Estimating the Causal Effect of Early ArXiving on Paper Acceptance
Y Elazar, J Zhang, D Wadden, B Zhang, NA Smith
arXiv preprint arXiv:2306.13891, 2023
22023
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts
B Zhang, J Zhang
arXiv preprint arXiv:2202.00848, 2022
22022
Association between author metadata and acceptance: A feature-rich, matched observational study of a corpus of ICLR submissions between 2017-2022
C Chen, J Zhang, D Roth, T Ye, B Zhang
arXiv preprint arXiv:2211.15849, 2022
12022
On the weak neural dependence phenomenon in deep learning
J Zhang, R Jia, B Li, D Song
NeurIPS Workshop on Deep Learning Theory, 2018
1*2018
Towards Reverse Causal Inference on Panel Data: Precise Formulation and Challenges
J Zhang, Y Park, DC Maddix, D Roth, B Wang
A causal view on dynamical systems, NeurIPS 2022 workshop, 2022
2022
Identifying Stochastic Oracles for Fast Convergence of RMSProp
J Zhang, A Mukherjee
Conference on the Mathematical Theory of Deep Neural Networks (Deep Math), 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–13