Hsiang Hsu
13 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (14)
🌍
Conference Polyglot
(4)
🏆
Keyword Champion
(3)
👑
Triple Crown
💎
Century Club
(13)
⚡
Prolific Year
(5)
🔥
Unstoppable
(7)
Conferences
ICLR (5)
NIPS (4)
AISTATS (2)
ICML (2)
Top co-authors
Keywords
predictive multiplicity
(3)
group fairness
(3)
rashomon set
(2)
probabilistic classifier
(2)
information theory
(2)
multi-class classification
(1)
multivariate analysis
(1)
machine learning
(1)
individual fairness
(1)
information projection
(1)
correspondence analysis
(1)
principal inertia component
(1)
functional optimization
(1)
fairness intervention
(1)
ensemble algorithm
(1)
feature leakage
(1)
model fairness
(1)
probabilistic classification
(1)
neural network
(1)
classification metric
(1)
Papers
PASS: Private Attributes Protection with Stochastic Data Substitution
ICML 2025
PaLD: Detection of Text Partially Written by Large Language Models
ICLR 2025
RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting
NIPS 2024
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
ICML 2024
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
ICLR 2024
Machine Unlearning for Image-to-Image Generative Models
ICLR 2024
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
ICLR 2024
Individual Arbitrariness and Group Fairness
NIPS 2023
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
NIPS 2022
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection
NIPS 2022
CPR: Classifier-Projection Regularization for Continual Learning
ICLR 2021
Obfuscation via Information Density Estimation
AISTATS 2020
Correspondence Analysis Using Neural Networks
AISTATS 2019