Changho Suh
15 papers · 2015–2023 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(8)
🏆
Keyword Champion
(2)
🏆
Grand Slam
🗃️
Keyword Collector
(66)
💎
Century Club
(15)
🔥
Unstoppable
(7)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
ICML (5)
NIPS (5)
AAAI (2)
ICLR (2)
ECCV (1)
Top co-authors
Keywords
rank aggregation
(3)
pairwise comparison
(3)
sample complexity
(3)
matrix completion
(2)
collaborative filtering
(2)
algorithmic fairness
(2)
top-k ranking
(2)
spectral method
(2)
robust training
(2)
graph side information
(2)
group fairness
(2)
autonomous driving
(1)
variational inference
(1)
trajectory prediction
(1)
minimax optimality
(1)
binary classification
(1)
active learning
(1)
preference learning
(1)
ranking aggregation
(1)
data poisoning
(1)
Papers
A Fair Generative Model Using LeCam Divergence
AAAI 2023
Improving Fair Training under Correlation Shifts
ICML 2023
Sample Selection for Fair and Robust Training
NIPS 2021
FairBatch: Batch Selection for Model Fairness
ICLR 2021
Autoencoder-based Graph Construction for Semi-supervised Learning
ECCV 2020
Matrix Completion with Hierarchical Graph Side Information
NIPS 2020
A Fair Classifier Using Kernel Density Estimation
NIPS 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
ICML 2020
Crash to Not Crash: Learn to Identify Dangerous Vehicles Using a Simulator
AAAI 2019
Binary Rating Estimation with Graph Side Information
NIPS 2018
Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
ICLR 2018
Optimal Sample Complexity of M-wise Data for Top-K Ranking
NIPS 2017
Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons
ICML 2017
Community Recovery in Graphs with Locality
ICML 2016
Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons
ICML 2015