Lizhen Lin
7 papers · 2014–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (11) π Cross-Pollinator (6)
πΊοΈ
Taxonomy Completionist
(16)
π£
Hot Topic Early Bird
Conferences
ICML (2)
JMLR (2)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
distributed learning
(2)
posterior distribution
(2)
graph clustering
(1)
community detection
(1)
nonparametric estimation
(1)
distributed inference
(1)
outlier robustness
(1)
likelihood estimation
(1)
curse of dimensionality
(1)
robust estimation
(1)
frechet mean
(1)
manifold optimization
(1)
grassmann manifold
(1)
probability measure
(1)
bayesian analysis
(1)
network clustering
(1)
parallel algorithm
(1)
geometric median
(1)
low-dimensional manifold
(1)
communication efficient
(1)
Papers
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
ICLR 2025
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
ICML 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
NIPS 2018
On clustering network-valued data
NIPS 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