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, MY Guan, M Gupta
arXiv preprint arXiv:1805.11783, 2018
2032018
Identifying and correcting label bias in machine learning
H Jiang, O Nachum
International Conference on Artificial Intelligence and Statistics, 702-712, 2020
692020
Two-player games for efficient non-convex constrained optimization
A Cotter, H Jiang, K Sridharan
Algorithmic Learning Theory, 300-332, 2019
582019
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
532019
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
512019
Wasserstein fair classification
R Jiang, A Pacchiano, T Stepleton, H Jiang, S Chiappa
Uncertainty in Artificial Intelligence, 862-872, 2020
502020
Uniform convergence rates for kernel density estimation
H Jiang
International Conference on Machine Learning, 1694-1703, 2017
482017
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
242019
DBSCAN++: Towards fast and scalable density clustering
J Jang, H Jiang
International Conference on Machine Learning, 3019-3029, 2019
212019
Deep k-nn for noisy labels
D Bahri, H Jiang, M Gupta
International Conference on Machine Learning, 540-550, 2020
182020
Density Level Set Estimation on Manifolds with DBSCAN
H Jiang
International Conference on Machine Learning, 1684-1693, 2017
172017
A General Approach to Fairness with Optimal Transport.
S Chiappa, R Jiang, T Stepleton, A Pacchiano, H Jiang, J Aslanides
AAAI, 3633-3640, 2020
152020
Nonparametric stochastic contextual bandits
M Guan, H Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
152018
Modal-set estimation with an application to clustering
H Jiang, S Kpotufe
International Conference on Artificial Intelligence and Statistics, 1197-1206, 2017
132017
Quickshift++: Provably good initializations for sample-based mean shift
H Jiang, J Jang, S Kpotufe
International Conference on Machine Learning, 2294-2303, 2018
102018
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
92019
Interpretable set functions
A Cotter, M Gupta, H Jiang, J Muller, T Narayan, S Wang, T Zhu
arXiv preprint arXiv:1806.00050, 2018
62018
Stochastic bandits with linear constraints
A Pacchiano, M Ghavamzadeh, P Bartlett, H Jiang
International Conference on Artificial Intelligence and Statistics, 2827-2835, 2021
52021
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
52020
On the consistency of quick shift
H Jiang
arXiv preprint arXiv:1710.10646, 2017
52017
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