Lizhen Lin
7 papers · 2014–2025 · 4 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· Half
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(19)
π£
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
distributed learning
(2)
wasserstein metric
(2)
posterior distribution
(2)
bayesian inference
(1)
community detection
(1)
robust estimation
(1)
distributed inference
(1)
nonparametric estimation
(1)
minimax optimal
(1)
outlier robustness
(1)
likelihood estimation
(1)
curse of dimensionality
(1)
grassmann manifold
(1)
frechet mean
(1)
manifold optimization
(1)
intrinsic dimension
(1)
probability measure
(1)
bayesian analysis
(1)
graph clustering
(1)
manifold learning
(1)
Papers
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
ICML 2025
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
ICLR 2025
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models
JMLR 2023
Communication Efficient Parallel Algorithms for Optimization on Manifolds
NeurIPS 2018
On clustering network-valued data
NeurIPS 2017
Robust and Scalable Bayes via a Median of Subset Posterior Measures
JMLR 2017
Scalable and Robust Bayesian Inference via the Median Posterior
ICML 2014