Fred Lu
8 papers · 2021–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (15) π Academic Marathon (5)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(18)
Conferences
AAAI (3)
NIPS (3)
ICLR (2)
Top co-authors
Research topics
Keywords
logistic regression
(2)
differential privacy
(2)
ensemble learning
(1)
feature extraction
(1)
uncertainty quantification
(1)
data subsampling
(1)
data reduction
(1)
reservoir sampling
(1)
regret bound
(1)
streaming datum
(1)
ensemble method
(1)
passive-aggressive classifier
(1)
weighted reservoir sampling
(1)
ensemble model
(1)
poisoning attack
(1)
out-of-distribution detection
(1)
influence function
(1)
privacy auditing
(1)
uncertainty estimation
(1)
bayesian neural network
(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
NIPS 2024
A Coreset Learning Reality Check
AAAI 2023
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
NIPS 2023
Neural Bregman Divergences for Distance Learning
ICLR 2023
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
AAAI 2022
A General Framework for Auditing Differentially Private Machine Learning
NIPS 2022
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
ICLR 2021