Changliang Zou
16 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (28) π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (5)
π
Keyword Champion
(2)
π
Grand Slam
ποΈ
Keyword Collector
(61)
π
Century Club
(16)
β‘
Prolific Year
(7)
Conferences
NIPS (5)
JMLR (4)
ICLR (3)
ICML (3)
AAAI (1)
Top co-authors
Research topics
Keywords
false discovery rate
(3)
statistical inference
(3)
model selection
(3)
hypothesis testing
(2)
uncertainty quantification
(2)
change-point detection
(2)
online learning
(2)
multiple testing
(2)
heavy-tailed distribution
(2)
high-dimensional statistics
(2)
decision making
(1)
asymptotic analysis
(1)
robust inference
(1)
constraint satisfaction
(1)
conformal prediction
(1)
sequential decision
(1)
outlier detection
(1)
high-dimensional regression
(1)
novelty detection
(1)
statistical hypothesis testing
(1)
Papers
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
JMLR 2025
Conditional Testing based on Localized Conformal $p$-values
ICLR 2025
Error-quantified Conformal Inference for Time Series
ICLR 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
ICLR 2025
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
ICML 2025
e-GAI: e-value-based Generalized $Ξ±$-Investing for Online False Discovery Rate Control
ICML 2025
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
JMLR 2025
Low-Rank Matrix Estimation in the Presence of Change-Points
JMLR 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference
NIPS 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation
AAAI 2024
ByMI: Byzantine Machine Identification with False Discovery Rate Control
ICML 2024
Conformalized Multiple Testing after Data-dependent Selection
NIPS 2024
Real-Time Selection Under General Constraints via Predictive Inference
NIPS 2024
Robust group and simultaneous inferences for high-dimensional single index model
NIPS 2024
Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning
JMLR 2023
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control
NIPS 2022