Heinrich Jiang
26 papers · 2017–2024 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🐺
Lone Wolf
(4)
🏆
Keyword Champion
(2)
🏆
Grand Slam
🗃️
Keyword Collector
(112)
🚀
Conference Pioneer
💎
Century Club
(26)
🔥
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
Keywords
clustering algorithm
(4)
constrained optimization
(3)
statistical consistency
(3)
density estimation
(3)
density-based clustering
(3)
kernel density estimation
(2)
mean shift
(2)
image segmentation
(2)
fairness metric
(2)
regret bound
(2)
multi-armed bandit
(2)
mode estimation
(2)
algorithmic fairness
(2)
fair classification
(2)
two-player game
(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