Chao Lan
5 papers · 2020–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
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Research topics
Machine Learning
(5)
Core Methods
(3)
Optimization & Theory
(3)
Deep Learning
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Analysis
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
active learning
(1)
semi-supervised learning
(1)
variational inference
(1)
anomaly detection
(1)
bayesian inference
(1)
sample complexity
(1)
multi-view learning
(1)
hierarchical model
(1)
communication efficiency
(1)
margin condition
(1)
subspace approximation
(1)
generative model
(1)
k-nearest neighbor
(1)
convergence rate
(1)
data heterogeneity
(1)
one-shot federated learning
(1)
least square
(1)
resource efficiency
(1)
individual fairness
(1)
random fourier feature
(1)
Papers
Near-Exponential Convergence Rates for kNN Classifications based on Boltzmann Margin
UAI 2026
One-Shot Federated Learning based on Random Feature Extractor
UAI 2026
Active approximately metric-fair learning
UAI 2022
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling
ICML 2022
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection
IJCAI 2020