Meila, Marina

49 publications

ICML 2025 The Noisy Laplacian: A Threshold Phenomenon for Non-Linear Dimension Reduction Alex Kokot, Octavian-Vlad Murad, Marina Meila

AISTATS 2024 Consistency of Dictionary-Based Manifold Learning Samson J. Koelle, Hanyu Zhang, Octavian-Vlad Murad, Marina Meila

NeurIPSW 2024 Isometry Pursuit Samson J Koelle, Marina Meila

JMLR 2022 Manifold Coordinates with Physical Meaning Samson J. Koelle, Hanyu Zhang, Marina Meila, Yu-Chia Chen

ICMLW 2021 Tangent Space Least Adaptive Clustering James Buenfil, Samson J Koelle, Marina Meila

NeurIPS 2021 The Decomposition of the Higher-Order Homology Embedding Constructed from the $k$-Laplacian Yu-Chia Chen, Marina Meila

NeurIPS 2019 Selecting the Independent Coordinates of Manifolds with Large Aspect Ratios Yu-Chia Chen, Marina Meila

NeurIPS 2018 How to Tell When a Clustering Is (approximately) Correct Using Convex Relaxations Marina Meila

NeurIPS 2017 Improved Graph Laplacian via Geometric Self-Consistency Dominique Joncas, Marina Meila, James McQueen

NeurIPS 2016 Graph Clustering: Block-Models and Model Free Results Yali Wan, Marina Meila

MLOSS 2016 Megaman: Scalable Manifold Learning in Python James McQueen, Marina Meilă, Jacob VanderPlas, Zhongyue Zhang

NeurIPS 2016 Nearly Isometric Embedding by Relaxation James McQueen, Marina Meila, Dominique Joncas

NeurIPS 2015 A Class of Network Models Recoverable by Spectral Clustering Yali Wan, Marina Meila

UAI 2015 Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, UAI 2015, July 12-16, 2015, Amsterdam, the Netherlands Marina Meila, Tom Heskes

NeurIPS 2014 Recursive Inversion Models for Permutations Christopher Meek, Marina Meila

AISTATS 2013 Consensus Ranking with Signed Permutations Raman Arora, Marina Meila

MLJ 2012 Local Equivalences of Distances Between Clusterings - A Geometric Perspective Marina Meila

NeurIPS 2011 Directed Graph Embedding: An Algorithm Based on Continuous Limits of Laplacian-Type Operators Dominique C. Perrault-joncas, Marina Meila

JMLR 2010 An Exponential Model for Infinite Rankings Marina Meilă, Le Bao

UAI 2010 Dirichlet Process Mixtures of Generalized Mallows Models Marina Meila, Harr Chen

AISTATS 2010 Learning Bayesian Network Structure Using LP Relaxations Tommi Jaakkola, David Sontag, Amir Globerson, Marina Meila

AISTATS 2009 Tractable Search for Learning Exponential Models of Rankings Bhushan Mandhani, Marina Meila

UAI 2008 Estimation and Clustering with Infinite Rankings Marina Meila, Le Bao

UAI 2007 Consensus Ranking Under the Exponential Model Marina Meila, Kapil Phadnis, Arthur Patterson, Jeff A. Bilmes

AISTATS 2007 Preface Marina Meila, Xiaotong Shen

ICML 2006 The Uniqueness of a Good Optimum for K-Means Marina Meila

ICML 2005 Comparing Clusterings: An Axiomatic View Marina Meila

AISTATS 2005 Regularized Spectral Learning Marina Meilă, Susan Shortreed, Liang Xu

AAAI 2005 Spectral Clustering of Biological Sequence Data William Pentney, Marina Meila

UAI 2005 Unsupervised Spectral Learning Susan M. Shortreed, Marina Meila

ICCV 2003 A New Paradigm for Recognizing 3-D Object Shapes from Range Data Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila

COLT 2003 Comparing Clusterings by the Variation of Information Marina Meila

AISTATS 2003 Data Centering in Feature Space Marina Meilă

NeurIPS 2003 Discriminating Deformable Shape Classes Salvador Ruiz-correa, Linda G. Shapiro, Marina Meila, Gabriel Berson

NeurIPS 2002 Real-Time Particle Filters Cody Kwok, Dieter Fox, Marina Meila

CVPR 2001 A New Signature-Based Method for Efficient 3-D Object Recognition Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila

AISTATS 2001 A Random Walks View of Spectral Segmentation Marina Meilă, Jianbo Shi

MLJ 2001 An Experimental Comparison of Model-Based Clustering Methods Marina Meila, David Heckerman

NeurIPS 2001 Intransitive Likelihood-Ratio Classifiers Jeff Bilmes, Gang Ji, Marina Meila

NeurIPS 2000 Learning Segmentation by Random Walks Marina Meila, Jianbo Shi

JMLR 2000 Learning with Mixtures of Trees Marina Meila, Michael I. Jordan

UAI 2000 Tractable Bayesian Learning of Tree Belief Networks Marina Meila, Tommi S. Jaakkola

ICML 1999 An Accelerated Chow and Liu Algorithm: Fitting Tree Distributions to High-Dimensional Sparse Data Marina Meila

NeurIPS 1999 Maximum Entropy Discrimination Tommi Jaakkola, Marina Meila, Tony Jebara

UAI 1998 An Experimental Comparison of Several Clustering and Initialization Methods Marina Meila, David Heckerman

AISTATS 1997 An Objective Function for Belief Net Triangulation Marina Meilă, Michael I. Jordan

NeurIPS 1997 Estimating Dependency Structure as a Hidden Variable Marina Meila, Michael I. Jordan

NeurIPS 1996 Triangulation by Continuous Embedding Marina Meila, Michael I. Jordan

NeurIPS 1995 Learning Fine Motion by Markov Mixtures of Experts Marina Meila, Michael I. Jordan