Fred Lu
8 papers · 2021–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(21)
π£
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(5)
Optimization & Theory
(4)
Deep Learning
(3)
Application Areas
(3)
Learning Types
(3)
Architectures
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Bayesian & Probabilistic
(1)
Differential Privacy
(1)
Models
(1)
Optimization
(1)
Keywords
differential privacy
(2)
logistic regression
(2)
metric learning
(1)
ensemble learning
(1)
feature extraction
(1)
generative model
(1)
embedding learning
(1)
disentangled representation
(1)
data subsampling
(1)
bregman divergence
(1)
data reduction
(1)
reservoir sampling
(1)
uncertainty quantification
(1)
regret bound
(1)
online learning
(1)
streaming data
(1)
ensemble method
(1)
variational autoencoder
(1)
passive-aggressive classifier
(1)
representation learning
(1)
Papers
Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets
AAAI 2026
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling
NeurIPS 2024
A Coreset Learning Reality Check
AAAI 2023
Neural Bregman Divergences for Distance Learning
ICLR 2023
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
NeurIPS 2023
A General Framework for Auditing Differentially Private Machine Learning
NeurIPS 2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
AAAI 2022
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
ICLR 2021