Marina Meila

According to our database, Marina Meila authored at least 73 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Consistency of Dictionary-Based Manifold Learning.

Samson J. Koelle, Hanyu Zhang, Octavian-Vlad Murad, Marina Meila

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space.

Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis

J. Comput. Phys., 2023

Manifold learning: what, how, and why.

Marina Meila, Hanyu Zhang

CoRR, 2023

Dictionary-based Manifold Learning.

Hanyu Zhang, Samson J. Koelle, Marina Meila

CoRR, 2023

The Parametric Stability of Well-separated Spherical Gaussian Mixtures.

Hanyu Zhang, Marina Meila

CoRR, 2023

2022

Recursive inversion models for permutations.

Marina Meila, Annelise Wagner, Christopher Meek

Stat. Comput., 2022

Manifold Coordinates with Physical Meaning.

Samson J. Koelle, Hanyu Zhang, Marina Meila, Yu-Chia Chen

J. Mach. Learn. Res., 2022

To ArXiv or not to ArXiv: A Study Quantifying Pros and Cons of Posting Preprints Online.

Charvi Rastogi, Ivan Stelmakh, Xinwei Shen, Marina Meila, Federico Echenique, Shuchi Chawla, Nihar B. Shah

CoRR, 2022

2021

Distribution free optimality intervals for clustering.

Marina Meila, Hanyu Zhang

CoRR, 2021

Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data.

Yu-Chia Chen, Marina Meila, Ioannis G. Kevrekidis

CoRR, 2021

The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian.

Yu-Chia Chen, Marina Meila

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Guarantees for Hierarchical Clustering by the Sublevel Set method.

Marina Meila

CoRR, 2020

2019

Good (K-means) clusterings are unique (up to small perturbations).

Marina Meila

J. Multivar. Anal., 2019

Measuring the Robustness of Graph Properties.

Yali Wan, Marina Meila

CoRR, 2019

Selecting the independent coordinates of manifolds with large aspect ratios.

Yu-Chia Chen, Marina Meila

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

A regression approach for explaining manifold embedding coordinates.

Marina Meila, Samson J. Koelle, Hanyu Zhang

CoRR, 2018

How to sample connected K-partitions of a graph.

Marina Meila

CoRR, 2018

How to tell when a clustering is (approximately) correct using convex relaxations.

Marina Meila

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Improved Graph Laplacian via Geometric Self-Consistency.

Dominique Joncas, Marina Meila, James McQueen

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Bayesian Non-Parametric Clustering of Ranking Data.

Marina Meila, Harr Chen

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Megaman: Scalable Manifold Learning in Python.

James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang

J. Mach. Learn. Res., 2016

megaman: Manifold Learning with Millions of points.

James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang

CoRR, 2016

Graph Clustering: Block-models and model free results.

Yali Wan, Marina Meila

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Nearly Isometric Embedding by Relaxation.

James McQueen, Marina Meila, Dominique Joncas

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Benchmarking recovery theorems for the DC-SBM.

Yali Wan, Marina Meila

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2016

2015

A class of network models recoverable by spectral clustering.

Yali Wan, Marina Meila

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Improved graph Laplacian via geometric self-consistency.

Dominique C. Perrault-Joncas, Marina Meila

CoRR, 2014

Estimating Vector Fields on Manifolds and the Embedding of Directed Graphs.

Dominique C. Perrault-Joncas, Marina Meila

CoRR, 2014

Graph Sensitive Indices for Comparing Clusterings.

Zaeem Hussain, Marina Meila

CoRR, 2014

Recursive Inversion Models for Permutations.

Christopher Meek, Marina Meila

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Consensus Ranking with Signed Permutations.

Raman Arora, Marina Meila

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Experiments with Kemeny ranking: What works when?

Alnur Ali, Marina Meila

Math. Soc. Sci., 2012

Local equivalences of distances between clusterings - a geometric perspective.

Marina Meila

Mach. Learn., 2012

2011

Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators.

Dominique C. Perrault-Joncas, Marina Meila

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

An Exponential Model for Infinite Rankings.

Marina Meila, Le Bao

J. Mach. Learn. Res., 2010

Learning Bayesian Network Structure using LP Relaxations.

Tommi S. Jaakkola, David A. Sontag, Amir Globerson, Marina Meila

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Dirichlet Process Mixtures of Generalized Mallows Models.

Marina Meila, Harr Chen

Proceedings of the UAI 2010, 2010

Building a Job Lanscape from Directional Transition Data.

Dominique C. Perrault-Joncas, Marina Meila, Marc Scott

Proceedings of the Manifold Learning and Its Applications, 2010

2009

Tractable Search for Learning Exponential Models of Rankings.

Bhushan Mandhani, Marina Meila

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008

Estimation and clustering with infinite rankings.

Marina Meila, Le Bao

Proceedings of the UAI 2008, 2008

Gravimetric Detection by Compressed Sensing.

Marina Meila, Caren Marzban, Ulvi Yurtsever

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007

Preface.

Marina Meila, Xiaotong Shen

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

IκB, NF-κB Regulation Model: Simulation Analysis of Small Number of Molecules.

Anamika Sarkar, Marina Meila, B. Robert Franza

EURASIP J. Bioinform. Syst. Biol., 2007

Consensus ranking under the exponential model.

Marina Meila, Kapil Phadnis, Arthur Patterson, Jeff A. Bilmes

Proceedings of the UAI 2007, 2007

Clustering by weighted cuts in directed graphs.

Marina Meila, William Pentney

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

2006

Comparing Subspace Clusterings.

Anne Patrikainen, Marina Meila

IEEE Trans. Knowl. Data Eng., 2006

Tractable Bayesian learning of tree belief networks.

Marina Meila, Tommi S. Jaakkola

Stat. Comput., 2006

Symbolic Signatures for Deformable Shapes.

Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila, Gabriel Berson, Michael L. Cunningham, Raymond W. Sze

IEEE Trans. Pattern Anal. Mach. Intell., 2006

The uniqueness of a good optimum for K-means.

Marina Meila

Proceedings of the Machine Learning, 2006

2005

Unsupervised Spectral Learning.

Susan M. Shortreed, Marina Meila

Proceedings of the UAI '05, 2005

Comparing clusterings: an axiomatic view.

Marina Meila

Proceedings of the Machine Learning, 2005

Regularized spectral learning.

Marina Meila, Susan M. Shortreed, Liang Xu

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

Spectral Clustering of Biological Sequence Data.

William Pentney, Marina Meila

Proceedings of the Proceedings, 2005

2004

Real-time particle filters.

Cody C. T. Kwok, Dieter Fox, Marina Meila

Proc. IEEE, 2004

2003

Discriminating Deformable Shape Classes.

Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila, Gabriel Berson

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Adaptive real-time particle filters for robot localization.

Cody C. T. Kwok, Dieter Fox, Marina Meila

Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

A New Paradigm for Recognizing 3-D Object Shapes from Range Data.

Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Comparing Clusterings by the Variation of Information.

Marina Meila

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

Data centering in feature space.

Marina Meila

Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2001

An Experimental Comparison of Model-Based Clustering Methods.

Marina Meila, David Heckerman

Mach. Learn., 2001

Intransitive Likelihood-Ratio Classifiers.

Jeff A. Bilmes, Gang Ji, Marina Meila

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

A New Signature-Based Method for Efficient 3-D Object Recognition.

Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

A Random Walks View of Spectral Segmentation.

Marina Meila, Jianbo Shi

Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000

Learning with Mixtures of Trees.

Marina Meila, Michael I. Jordan

J. Mach. Learn. Res., 2000

Learning Segmentation by Random Walks.

Marina Meila, Jianbo Shi

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Learning with Mixtures of Trees.

Marina Meila-Predoviciu

PhD thesis, 1999

Maximum Entropy Discrimination.

Tommi S. Jaakkola, Marina Meila, Tony Jebara

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

An Accelerated Chow and Liu Algorithm: Fitting Tree Distributions to High-Dimensional Sparse Data.

Marina Meila

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

An Experimental Comparison of Several Clustering and Initialization Methods.

Marina Meila, David Heckerman

Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1997

Estimating Dependency Structure as a Hidden Variable.

Marina Meila, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

An Objective Function for Belief Net Triangulation.

Marina Meila, Michael I. Jordan

Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, 1997

1996

Triangulation by Continuous Embedding.

Marina Meila, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Learning Fine Motion by Markov Mixtures of Experts.

Marina Meila, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 8, 1995