Yixuan Qiu
8 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
π
Grand Slam
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Research topics
Keywords
latent variable model
(2)
markov chain monte carlo
(2)
stochastic gradient
(1)
representation learning
(1)
stochastic gradient descent
(1)
manifold learning
(1)
convex optimization
(1)
message passing
(1)
label propagation
(1)
optimal transport
(1)
expectation maximization
(1)
numerical optimization
(1)
spectral clustering
(1)
empirical risk minimization
(1)
langevin dynamics
(1)
quantile regression
(1)
contrastive divergence
(1)
manifold dimension
(1)
hessian matrix
(1)
generative modeling
(1)
Papers
The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport
ICML 2025
Graph Machine Learning through the Lens of Bilevel Optimization
AISTATS 2024
Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport
NeurIPS 2024
Randomized Spectral Co-Clustering for Large-Scale Directed Networks
JMLR 2023
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
NeurIPS 2023
Learning Manifold Dimensions with Conditional Variational Autoencoders
NeurIPS 2022
Stochastic Approximate Gradient Descent via the Langevin Algorithm
AAAI 2020
Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models
ICLR 2020