Marina Meila - RankMe

94 papers A* 12A 18Misc 1Journal 46Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Local EGOP for Continuous Index Learning. CoRR Alex Kokot, Anand Hemmady, Vydhourie Thiyageswaran, Marina Meila
2025	J	`jnl`	Cryo-em images are intrinsically low dimensional. CoRR Luke Evans, Octavian-Vlad Murad, Lars Dingeldein, Pilar Cossio, Roberto Covino, Marina Meila
2025	J	`jnl`	The Entropy and Crossentropy of Generalized Mallows Models. CoRR Marina Meila
2025	A*	`conf`	The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction. ICML Alex Kokot, Octavian-Vlad Murad, Marina Meila
2024	A	`conf`	Consistency of Dictionary-Based Manifold Learning. AISTATS Samson J. Koelle, Hanyu Zhang, Octavian-Vlad Murad, Marina Meila
2024	J	`jnl`	How well behaved is finite dimensional Diffusion Maps? CoRR Wenyu Bo, Marina Meila
2024	J	`jnl`	Isometry pursuit. CoRR Samson J. Koelle, Marina Meila
2024	J	`jnl`	Piikun: an information theoretic toolkit for analysis and visualization of species delimitation metric space. BMC Bioinform. Jeet Sukumaran, Marina Meila
2023	J	`jnl`	Dictionary-based Manifold Learning. CoRR Hanyu Zhang, Samson J. Koelle, Marina Meila
2023	J	`jnl`	Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. J. Comput. Phys. Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis
2023	J	`jnl`	Manifold learning: what, how, and why. CoRR Marina Meila, Hanyu Zhang
2023	J	`jnl`	The Parametric Stability of Well-separated Spherical Gaussian Mixtures. CoRR Hanyu Zhang, Marina Meila
2022	J	`jnl`	Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space. CoRR Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis
2022	J	`jnl`	Manifold Coordinates with Physical Meaning. J. Mach. Learn. Res. Samson J. Koelle, Hanyu Zhang, Marina Meila, Yu-Chia Chen
2022	J	`jnl`	Recursive inversion models for permutations. Stat. Comput. Marina Meila, Annelise Wagner, Christopher Meek
2022	J	`jnl`	To ArXiv or not to ArXiv: A Study Quantifying Pros and Cons of Posting Preprints Online. CoRR Charvi Rastogi, Ivan Stelmakh, Xinwei Shen, Marina Meila, Federico Echenique, Shuchi Chawla, Nihar B. Shah
2021	J	`jnl`	A class of network models recoverable by spectral clustering. CoRR Yali Wan, Marina Meila
2021	J	`jnl`	Distribution free optimality intervals for clustering. CoRR Marina Meila, Hanyu Zhang
2021	J	`jnl`	Helmholtzian Eigenmap: Topological feature discovery & edge flow learning from point cloud data. CoRR Yu-Chia Chen, Marina Meila, Ioannis G. Kevrekidis
2021	A*	`ed.`	Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. ICML Marina Meila, Tong Zhang
2021	A*	`conf`	The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian. NeurIPS Yu-Chia Chen, Marina Meila
2021	J	`jnl`	The decomposition of the higher-order homology embedding constructed from the k-Laplacian. CoRR Yu-Chia Chen, Marina Meila
2020	J	`jnl`	Guarantees for Hierarchical Clustering by the Sublevel Set method. CoRR Marina Meila
2019	J	`jnl`	Good (K-means) clusterings are unique (up to small perturbations). J. Multivar. Anal. Marina Meila
2019	J	`jnl`	Measuring the Robustness of Graph Properties. CoRR Yali Wan, Marina Meila
2019	A*	`conf`	Selecting the independent coordinates of manifolds with large aspect ratios. NeurIPS Yu-Chia Chen, Marina Meila
2019	J	`jnl`	Selecting the independent coordinates of manifolds with large aspect ratios. CoRR Yu-Chia Chen, Marina Meila
2018	J	`jnl`	A regression approach for explaining manifold embedding coordinates. CoRR Marina Meila, Samson J. Koelle, Hanyu Zhang
2018	J	`jnl`	How to sample connected K-partitions of a graph. CoRR Marina Meila
2018	A*	`conf`	How to tell when a clustering is (approximately) correct using convex relaxations. NeurIPS Marina Meila
2017	—	`conf`	Improved Graph Laplacian via Geometric Self-Consistency. NIPS Dominique Joncas, Marina Meila, James McQueen
2016	J	`jnl`	Bayesian Non-Parametric Clustering of Ranking Data. IEEE Trans. Pattern Anal. Mach. Intell. Marina Meila, Harr Chen
2016	Misc	`conf`	Benchmarking recovery theorems for the DC-SBM. ISAIM Yali Wan, Marina Meila
2016	—	`conf`	Graph Clustering: Block-models and model free results. NIPS Yali Wan, Marina Meila
2016	J	`jnl`	Megaman: Scalable Manifold Learning in Python. J. Mach. Learn. Res. James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang
2016	—	`conf`	Nearly Isometric Embedding by Relaxation. NIPS James McQueen, Marina Meila, Dominique Joncas
2016	J	`jnl`	megaman: Manifold Learning with Millions of points. CoRR James McQueen, Marina Meila, Jacob VanderPlas, Zhongyue Zhang
2015	—	`conf`	A class of network models recoverable by spectral clustering. NIPS Yali Wan, Marina Meila
2015	A	`ed.`	Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, UAI 2015, July 12-16, 2015, Amsterdam, The Netherlands UAI Marina Meila, Tom Heskes
2014	J	`jnl`	Estimating Vector Fields on Manifolds and the Embedding of Directed Graphs. CoRR Dominique C. Perrault-Joncas, Marina Meila
2014	J	`jnl`	Graph Sensitive Indices for Comparing Clusterings. CoRR Zaeem Hussain, Marina Meila
2014	J	`jnl`	Improved graph Laplacian via geometric self-consistency. CoRR Dominique C. Perrault-Joncas, Marina Meila
2014	—	`conf`	Recursive Inversion Models for Permutations. NIPS Christopher Meek, Marina Meila
2013	J	`jnl`	An Experimental Comparison of Several Clustering and Initialization Methods CoRR Marina Meila, David Heckerman
2013	A	`conf`	Consensus Ranking with Signed Permutations. AISTATS Raman Arora, Marina Meila
2013	J	`jnl`	Tractable Bayesian Learning of Tree Belief Networks CoRR Marina Meila, Tommi S. Jaakkola
2012	J	`jnl`	Consensus ranking under the exponential model CoRR Marina Meila, Kapil Phadnis, Arthur Patterson, Jeff A. Bilmes
2012	J	`jnl`	Dirichlet Process Mixtures of Generalized Mallows Models CoRR Marina Meila, Harr Chen
2012	J	`jnl`	Estimation and Clustering with Infinite Rankings CoRR Marina Meila, Le Bao
2012	J	`jnl`	Experiments with Kemeny ranking: What works when? Math. Soc. Sci. Alnur Ali, Marina Meila
2012	J	`jnl`	Local equivalences of distances between clusterings - a geometric perspective. Mach. Learn. Marina Meila
2012	J	`jnl`	Unsupervised spectral learning CoRR Susan M. Shortreed, Marina Meila
2011	—	`conf`	Directed Graph Embedding: an Algorithm based on Continuous Limits of Laplacian-type Operators. NIPS Dominique C. Perrault-Joncas, Marina Meila
2010	J	`jnl`	An Exponential Model for Infinite Rankings. J. Mach. Learn. Res. Marina Meila, Le Bao
2010	—	`conf`	Building a Job Lanscape from Directional Transition Data. AAAI Fall Symposium: Manifold Learning and Its Applications Dominique C. Perrault-Joncas, Marina Meila, Marc Scott
2010	A	`conf`	Dirichlet Process Mixtures of Generalized Mallows Models. UAI Marina Meila, Harr Chen
2010	A	`conf`	Learning Bayesian Network Structure using LP Relaxations. AISTATS Tommi S. Jaakkola, David A. Sontag, Amir Globerson, Marina Meila
2009	A	`conf`	Tractable Search for Learning Exponential Models of Rankings. AISTATS Bhushan Mandhani, Marina Meila
2008	A	`conf`	Estimation and clustering with infinite rankings. UAI Marina Meila, Le Bao
2008	—	`conf`	Gravimetric Detection by Compressed Sensing. IGARSS (2) Marina Meila, Caren Marzban, Ulvi Yurtsever
2007	A	`conf`	Clustering by weighted cuts in directed graphs. SDM Marina Meila, William Pentney
2007	A	`conf`	Consensus ranking under the exponential model. UAI Marina Meila, Kapil Phadnis, Arthur Patterson, Jeff A. Bilmes
2007	J	`jnl`	IκB, NF-κB Regulation Model: Simulation Analysis of Small Number of Molecules. EURASIP J. Bioinform. Syst. Biol. Anamika Sarkar, Marina Meila, B. Robert Franza
2007	A	`conf`	Preface. AISTATS Marina Meila, Xiaotong Shen
2007	A	`ed.`	Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, AISTATS 2007, San Juan, Puerto Rico, March 21-24, 2007 AISTATS Marina Meila, Xiaotong Shen
2006	J	`jnl`	Comparing Subspace Clusterings. IEEE Trans. Knowl. Data Eng. Anne Patrikainen, Marina Meila
2006	J	`jnl`	Symbolic Signatures for Deformable Shapes. IEEE Trans. Pattern Anal. Mach. Intell. Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila, Gabriel Berson, Michael L. Cunningham, Raymond W. Sze
2006	A*	`conf`	The uniqueness of a good optimum for K-means. ICML Marina Meila
2006	J	`jnl`	Tractable Bayesian learning of tree belief networks. Stat. Comput. Marina Meila, Tommi S. Jaakkola
2005	A*	`conf`	Comparing clusterings: an axiomatic view. ICML Marina Meila
2005	A	`conf`	Regularized spectral learning. AISTATS Marina Meila, Susan M. Shortreed, Liang Xu
2005	A*	`conf`	Spectral Clustering of Biological Sequence Data. AAAI William Pentney, Marina Meila
2005	A	`conf`	Unsupervised Spectral Learning. UAI Susan M. Shortreed, Marina Meila
2004	J	`jnl`	Real-time particle filters. Proc. IEEE Cody C. T. Kwok, Dieter Fox, Marina Meila
2003	A*	`conf`	A New Paradigm for Recognizing 3-D Object Shapes from Range Data. ICCV Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila
2003	A*	`conf`	Adaptive real-time particle filters for robot localization. ICRA Cody C. T. Kwok, Dieter Fox, Marina Meila
2003	A*	`conf`	Comparing Clusterings by the Variation of Information. COLT Marina Meila
2003	A	`conf`	Data centering in feature space. AISTATS Marina Meila
2003	—	`conf`	Discriminating Deformable Shape Classes. NIPS Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila, Gabriel Berson
2002	—	`conf`	Real-Time Particle Filters. NIPS Cody C. T. Kwok, Dieter Fox, Marina Meila
2001	—	`conf`	A New Signature-Based Method for Efficient 3-D Object Recognition. CVPR (1) Salvador Ruiz-Correa, Linda G. Shapiro, Marina Meila
2001	A	`conf`	A Random Walks View of Spectral Segmentation. AISTATS Marina Meila, Jianbo Shi
2001	J	`jnl`	An Experimental Comparison of Model-Based Clustering Methods. Mach. Learn. Marina Meila, David Heckerman
2001	—	`conf`	Intransitive Likelihood-Ratio Classifiers. NIPS Jeff A. Bilmes, Gang Ji, Marina Meila
2000	—	`conf`	Learning Segmentation by Random Walks. NIPS Marina Meila, Jianbo Shi
2000	J	`jnl`	Learning with Mixtures of Trees. J. Mach. Learn. Res. Marina Meila, Michael I. Jordan
2000	A	`conf`	Tractable Bayesian Learning of Tree Belief Networks. UAI Marina Meila, Tommi S. Jaakkola
1999	A*	`conf`	An Accelerated Chow and Liu Algorithm: Fitting Tree Distributions to High-Dimensional Sparse Data. ICML Marina Meila
1999	—	`conf`	Maximum Entropy Discrimination. NIPS Tommi S. Jaakkola, Marina Meila, Tony Jebara
1998	A	`conf`	An Experimental Comparison of Several Clustering and Initialization Methods. UAI Marina Meila, David Heckerman
1997	A	`conf`	An Objective Function for Belief Net Triangulation. AISTATS Marina Meila, Michael I. Jordan
1997	—	`conf`	Estimating Dependency Structure as a Hidden Variable. NIPS Marina Meila, Michael I. Jordan
1996	—	`conf`	Triangulation by Continuous Embedding. NIPS Marina Meila, Michael I. Jordan
1995	—	`conf`	Learning Fine Motion by Markov Mixtures of Experts. NIPS Marina Meila, Michael I. Jordan