Marina Meila
17 papers · 2000–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Ultra π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Champion
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(5)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(87)
π
Trend Setter
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(16)
Core Methods
(15)
Mathematics & Optimization
(14)
Mathematics
(9)
Optimization
(5)
Optimization & Theory
(4)
Data Science & Analytics
(3)
Deep Learning
(3)
Applications
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Learning Types
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Knowledge & Reasoning
(1)
Architectures
(1)
Keywords
manifold learning
(5)
dimensionality reduction
(4)
spectral method
(3)
dimension reduction
(3)
graph clustering
(2)
graph laplacian
(2)
clustering guarantee
(2)
stochastic block model
(2)
laplace-beltrami operator
(2)
manifold embedding
(2)
spectral clustering
(2)
community detection
(2)
probabilistic model
(2)
structure learning
(1)
k-means clustering
(1)
density estimation
(1)
metric learning
(1)
unsupervised learning
(1)
bayesian inference
(1)
graph representation
(1)
Papers
The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
ICML 2025
Consistency of Dictionary-Based Manifold Learning
AISTATS 2024
Manifold Coordinates with Physical Meaning
JMLR 2022
The decomposition of the higher-order homology embedding constructed from the k-Laplacian
NeurIPS 2021
Selecting the independent coordinates of manifolds with large aspect ratios
NeurIPS 2019
How to tell when a clustering is (approximately) correct using convex relaxations
NeurIPS 2018
Improved Graph Laplacian via Geometric Self-Consistency
NeurIPS 2017
Graph Clustering: Block-models and model free results
NeurIPS 2016
Megaman: Scalable Manifold Learning in Python
JMLR 2016
Nearly Isometric Embedding by Relaxation
NeurIPS 2016
A class of network models recoverable by spectral clustering
NeurIPS 2015
Recursive Inversion Models for Permutations
NeurIPS 2014
Consensus Ranking with Signed Permutations
AISTATS 2013
Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators
NeurIPS 2011
Learning Bayesian Network Structure using LP Relaxations
AISTATS 2010
Tractable Search for Learning Exponential Models of Rankings
AISTATS 2005
Learning with Mixtures of Trees
JMLR 2000