← Authors

Heinrich Jiang

26 papers · 2017–2024 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (41) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🐺 Lone Wolf (4) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (112) πŸš€ Conference Pioneer πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (8)

Conferences

ICML (9) AISTATS (5) NIPS (4) AAAI (2) ICLR (2) ALT (1) CVPR (1) JMLR (1) UAI (1)

Top co-authors

Maya Gupta (5) Jennifer Jang (5) Andrew Cotter (5) Aldo Pacchiano (4) Dara Bahri (4) Karthik Sridharan (3) Serena Wang (3) Seungil You (2) Afshin Rostamizadeh (2) Samory Kpotufe (2)

Keywords

clustering algorithm (4) constrained optimization (3) statistical consistency (3) density-based clustering (3) density estimation (3) kernel density estimation (2) fairness metrics (2) image segmentation (2) regret bound (2) two-player game (2) multi-armed bandit (2) mode estimation (2) algorithmic fairness (2) fair classification (2) mean shift (2) non-convex optimization (2) text generation (1) factual accuracy (1) self-supervised learning (1) active learning (1)

Papers

SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models NIPS 2024
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption ICLR 2022
Churn Reduction via Distillation ICLR 2022
MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking CVPR 2021
Locally Adaptive Label Smoothing Improves Predictive Churn ICML 2021
Active Covering ICML 2021
Robustness Guarantees for Mode Estimation with an Application to Bandits AAAI 2021
Learning the Truth From Only One Side of the Story AISTATS 2021
Stochastic Bandits with Linear Constraints AISTATS 2021
Deep k-NN for Noisy Labels ICML 2020
Faster DBSCAN via subsampled similarity queries NIPS 2020
Identifying and Correcting Label Bias in Machine Learning AISTATS 2020
Wasserstein Fair Classification UAI 2019
Non-Asymptotic Uniform Rates of Consistency for k-NN Regression AAAI 2019
Robustness Guarantees for Density Clustering AISTATS 2019
Two-Player Games for Efficient Non-Convex Constrained Optimization ALT 2019
Shape Constraints for Set Functions ICML 2019
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints ICML 2019
DBSCAN++: Towards fast and scalable density clustering ICML 2019
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals JMLR 2019
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift ICML 2018
To Trust Or Not To Trust A Classifier NIPS 2018
On the Consistency of Quick Shift NIPS 2017
Density Level Set Estimation on Manifolds with DBSCAN ICML 2017
Uniform Convergence Rates for Kernel Density Estimation ICML 2017
Modal-set estimation with an application to clustering AISTATS 2017