Yixuan Qiu
8 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (5) π Cross-Pollinator (13)
πΊοΈ
Taxonomy Completionist
(16)
π§
Keyword Pioneer
π
Grand Slam
Conferences
NIPS (3)
AAAI (1)
AISTATS (1)
ICLR (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
stochastic optimization
(1)
generative modeling
(1)
langevin dynamics
(1)
representation learning
(1)
stochastic gradient descent
(1)
manifold learning
(1)
spectral clustering
(1)
convex optimization
(1)
label propagation
(1)
optimal transport
(1)
expectation maximization
(1)
numerical optimization
(1)
markov chain monte carlo
(1)
empirical risk minimization
(1)
message passing
(1)
quantile regression
(1)
manifold dimension
(1)
hessian matrix
(1)
stochastic block model
(1)
linear convergence
(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
NIPS 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
NIPS 2023
Learning Manifold Dimensions with Conditional Variational Autoencoders
NIPS 2022
Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models
ICLR 2020
Stochastic Approximate Gradient Descent via the Langevin Algorithm
AAAI 2020