Lam M. Nguyen
13 papers · 2017–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Keyword Champion (3)
π
Grand Slam
ποΈ
Keyword Collector
(76)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(9)
Mathematics & Optimization
(6)
Optimization
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Core AI
(2)
Core Methods
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms Β· Machine Learning
(1)
Keywords
gradient method
(3)
stochastic optimization
(2)
oracle complexity
(2)
non-convex optimization
(2)
stochastic gradient descent
(2)
domain adaptation
(2)
neural network
(2)
convergence analysis
(2)
variance reduction
(2)
sinkhorn algorithm
(2)
computer vision
(1)
transfer learning
(1)
contrastive learning
(1)
uncertainty quantification
(1)
stochastic gradient
(1)
probabilistic modeling
(1)
model aggregation
(1)
image classification
(1)
composite optimization
(1)
finite-sum optimization
(1)
Papers
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
NeurIPS 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
AAAI 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
AAAI 2024
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
ICML 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
NeurIPS 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
NeurIPS 2024
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
ICML 2023
Label-free Concept Bottleneck Models
ICLR 2023
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
JMLR 2023
A Unified Convergence Analysis for Shuffling-Type Gradient Methods
JMLR 2021
ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization
JMLR 2020
New Convergence Aspects of Stochastic Gradient Algorithms
JMLR 2019
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
ICML 2017