Changho Suh
15 papers · 2015–2023 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(72)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(14)
Application Areas
(9)
Core Methods
(8)
Optimization & Theory
(7)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Data Science & Analytics
(2)
Deep Learning
(2)
Applications
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Domain-Specific
(1)
Learning Types Β· Deep Learning
(1)
Keywords
rank aggregation
(3)
pairwise comparison
(3)
sample complexity
(3)
matrix completion
(2)
graph side information
(2)
collaborative filtering
(2)
demographic parity
(2)
algorithmic fairness
(2)
synthetic data
(2)
group fairness
(2)
top-k ranking
(2)
model fairness
(2)
spectral method
(2)
robust training
(2)
domain adaptation
(2)
trajectory prediction
(1)
autonomous driving
(1)
variational inference
(1)
minimax optimality
(1)
binary classification
(1)
Papers
A Fair Generative Model Using LeCam Divergence
AAAI 2023
Improving Fair Training under Correlation Shifts
ICML 2023
FairBatch: Batch Selection for Model Fairness
ICLR 2021
Sample Selection for Fair and Robust Training
NeurIPS 2021
A Fair Classifier Using Kernel Density Estimation
NeurIPS 2020
Autoencoder-based Graph Construction for Semi-supervised Learning
ECCV 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
ICML 2020
Matrix Completion with Hierarchical Graph Side Information
NeurIPS 2020
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator
AAAI 2019
Binary Rating Estimation with Graph Side Information
NeurIPS 2018
Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
ICLR 2018
Active Learning for Top-K Rank Aggregation from Noisy Comparisons
ICML 2017
Optimal Sample Complexity of M-wise Data for Top-K Ranking
NeurIPS 2017
Community Recovery in Graphs with Locality
ICML 2016
Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons
ICML 2015