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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
3192018
Identifying and correcting label bias in machine learning
H Jiang, O Nachum
International Conference on Artificial Intelligence and Statistics, 702-712, 2020
1552020
Wasserstein fair classification
R Jiang, A Pacchiano, T Stepleton, H Jiang, S Chiappa
Uncertainty in Artificial Intelligence, 862-872, 2020
982020
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals.
A Cotter, H Jiang, MR Gupta, S Wang, T Narayan, S You, K Sridharan
J. Mach. Learn. Res. 20 (172), 1-59, 2019
942019
Two-player games for efficient non-convex constrained optimization
A Cotter, H Jiang, K Sridharan
Algorithmic Learning Theory, 300-332, 2019
822019
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
702019
Uniform convergence rates for kernel density estimation
H Jiang
International Conference on Machine Learning, 1694-1703, 2017
602017
DBSCAN++: Towards fast and scalable density clustering
J Jang, H Jiang
International conference on machine learning, 3019-3029, 2019
412019
Deep k-nn for noisy labels
D Bahri, H Jiang, M Gupta
International Conference on Machine Learning, 540-550, 2020
342020
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
322019
A General Approach to Fairness with Optimal Transport.
S Chiappa, R Jiang, T Stepleton, A Pacchiano, H Jiang, J Aslanides
AAAI, 3633-3640, 2020
272020
Modal-set estimation with an application to clustering
H Jiang, S Kpotufe
International Conference on Artificial Intelligence and Statistics, 1197-1206, 2017
232017
Density Level Set Estimation on Manifolds with DBSCAN
H Jiang
International Conference on Machine Learning, 1684-1693, 2017
212017
Quickshift++: Provably good initializations for sample-based mean shift
H Jiang, J Jang, S Kpotufe
International Conference on Machine Learning, 2294-2303, 2018
202018
Nonparametric stochastic contextual bandits
M Guan, H Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
182018
Stochastic bandits with linear constraints
A Pacchiano, M Ghavamzadeh, P Bartlett, H Jiang
International Conference on Artificial Intelligence and Statistics, 2827-2835, 2021
172021
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
172019
Scarf: Self-supervised contrastive learning using random feature corruption
D Bahri, H Jiang, Y Tay, D Metzler
arXiv preprint arXiv:2106.15147, 2021
92021
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
82020
On the consistency of quick shift
H Jiang
Advances in Neural Information Processing Systems 30, 2017
82017
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