Joint reasoning for temporal and causal relations Q Ning, Z Feng, H Wu, D Roth
arXiv preprint arXiv:1906.04941, 2019
123 2019 A structured learning approach to temporal relation extraction Q Ning, Z Feng, D Roth
arXiv preprint arXiv:1906.04943, 2019
104 2019 CogCompTime: A tool for understanding time in natural language Q Ning, B Zhou, Z Feng, H Peng, D Roth
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
49 2018 Does data augmentation lead to positive margin? S Rajput, Z Feng, Z Charles, PL Loh, D Papailiopoulos
International Conference on Machine Learning, 5321-5330, 2019
35 2019 Cogcompnlp: Your swiss army knife for nlp D Khashabi, M Sammons, B Zhou, T Redman, C Christodoulopoulos, ...
Proceedings of the Eleventh International Conference on Language Resources …, 2018
19 2018 Dimensionality reduction for the sum-of-distances metric Z Feng, P Kacham, D Woodruff
International Conference on Machine Learning, 3220-3229, 2021
11 2021 Learning-Augmented JC Ergun, Z Feng, S Silwal, DP Woodruff, S Zhou
arXiv preprint arXiv:2110.14094, 2021
10 2021 Strong coresets for subspace approximation and k-median in nearly linear time Z Feng, P Kacham, DP Woodruff
CoRR, abs/1912.12003, 2019
7 2019 Online learning with graph-structured feedback against adaptive adversaries Z Feng, PL Loh
2018 IEEE International Symposium on Information Theory (ISIT), 931-935, 2018
6 2018 Provable adaptation across multiway domains via representation learning Z Feng, S Han, SS Du
arXiv preprint arXiv:2106.06657, 2021
1 2021 On the Neural Tangent Kernel of Equilibrium Models Z Feng, JZ Kolter
1 2020 Monotone mean-field inference in deep markov random fields Z Feng, E Winston, J Kolter, DT Willmott, JD Semedo
US Patent App. 17/487,322, 2023
2023 Non-PSD matrix sketching with applications to regression and optimization Z Feng, F Roosta, DP Woodruff
Uncertainty in Artificial Intelligence, 1841-1851, 2021
2021 Monotone deep Boltzmann machines Z Feng, E Winston, JZ Kolter
