Heinrich Jiang
26 papers · 2017–2024 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Heinrich Jiang?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Maya Gupta, Andrew Cotter, Dara Bahri
10 papers
· 2018–2022
· ICML, ICLR, JMLR
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Churn Reduction via Distillation
ICLR 2022
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption
ICLR 2022
Active Covering
ICML 2021
Locally Adaptive Label Smoothing Improves Predictive Churn
ICML 2021
Deep k-NN for Noisy Labels
ICML 2020
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
JMLR 2019
Shape Constraints for Set Functions
ICML 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
ICML 2019
Two-Player Games for Efficient Non-Convex Constrained Optimization
ALT 2019
To Trust Or Not To Trust A Classifier
NeurIPS 2018
5 papers whose co-authors appear nowhere else under this name
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
NeurIPS 2024
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression
AAAI 2019
Density Level Set Estimation on Manifolds with DBSCAN
ICML 2017
On the Consistency of Quick Shift
NeurIPS 2017
Uniform Convergence Rates for Kernel Density Estimation
ICML 2017