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Heinrich Jiang
Heinrich Jiang
Research Scientist, Google Research
Verified email at google.com
Title
Cited by
Cited by
Year
To trust or not to trust a classifier
H Jiang, B Kim, M Guan, M Gupta
Advances in neural information processing systems 31, 2018
5032018
Identifying and correcting label bias in machine learning
H Jiang, O Nachum
International conference on artificial intelligence and statistics, 702-712, 2020
3172020
Wasserstein fair classification
R Jiang, A Pacchiano, T Stepleton, H Jiang, S Chiappa
Uncertainty in artificial intelligence, 862-872, 2020
1862020
Optimization with non-differentiable constraints with applications to fairness, recall, churn, and other goals
A Cotter, H Jiang, M Gupta, S Wang, T Narayan, S You, K Sridharan
Journal of Machine Learning Research 20 (172), 1-59, 2019
1592019
Two-player games for efficient non-convex constrained optimization
A Cotter, H Jiang, K Sridharan
Algorithmic Learning Theory, 300-332, 2019
1302019
Scarf: Self-supervised contrastive learning using random feature corruption
D Bahri, H Jiang, Y Tay, D Metzler
arXiv preprint arXiv:2106.15147, 2021
1262021
Training well-generalizing classifiers for fairness metrics and other data-dependent constraints
A Cotter, M Gupta, H Jiang, N Srebro, K Sridharan, S Wang, B Woodworth, ...
International Conference on Machine Learning, 1397-1405, 2019
1112019
Uniform convergence rates for kernel density estimation
H Jiang
International Conference on Machine Learning, 1694-1703, 2017
962017
DBSCAN++: Towards fast and scalable density clustering
J Jang, H Jiang
International conference on machine learning, 3019-3029, 2019
812019
Deep k-nn for noisy labels
D Bahri, H Jiang, M Gupta
International Conference on Machine Learning, 540-550, 2020
752020
A general approach to fairness with optimal transport
C Silvia, J Ray, S Tom, P Aldo, J Heinrich, A John
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3633-3640, 2020
702020
Stochastic bandits with linear constraints
A Pacchiano, M Ghavamzadeh, P Bartlett, H Jiang
International conference on artificial intelligence and statistics, 2827-2835, 2021
652021
Non-asymptotic uniform rates of consistency for k-nn regression
H Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3999-4006, 2019
462019
Quickshift++: Provably good initializations for sample-based mean shift
H Jiang, J Jang, S Kpotufe
International Conference on Machine Learning, 2294-2303, 2018
362018
Nonparametric stochastic contextual bandits
M Guan, H Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
362018
Density Level Set Estimation on Manifolds with DBSCAN
H Jiang
International Conference on Machine Learning, 1684-1693, 2017
322017
Modal-set estimation with an application to clustering
H Jiang, S Kpotufe
International Conference on Artificial Intelligence and Statistics, 1197-1206, 2017
272017
An empirical study of pre-trained vision models on out-of-distribution generalization
Y Yu, H Jiang, D Bahri, H Mobahi, S Kim, AS Rawat, A Veit, Y Ma
NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and …, 2021
222021
Shape constraints for set functions
A Cotter, M Gupta, H Jiang, E Louidor, J Muller, T Narayan, S Wang, ...
International conference on machine learning, 1388-1396, 2019
222019
Churn reduction via distillation
H Jiang, H Narasimhan, D Bahri, A Cotter, A Rostamizadeh
arXiv preprint arXiv:2106.02654, 2021
192021
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