Purnamrita Sarkar

CoRR, 2024

Thresholded Oja does Sparse PCA?

[BibT_eX]

[DOI]

Syamantak Kumar

CoRR, 2024

Keep or toss? A nonparametric score to evaluate solutions for noisy ICA.

[BibT_eX]

[DOI]

CoRR, 2024

2023

A Robust Spectral Clustering Algorithm for Sub-Gaussian Mixture Models with Outliers.

[BibT_eX]

[DOI]

Prateek R. Srivastava

Grani A. Hanasusanto

Oper. Res., January, 2023

Streaming PCA for Markovian Data.

[BibT_eX]

[DOI]

Syamantak Kumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Incentive-Aware Models of Dynamic Financial Networks.

[BibT_eX]

[DOI]

Akhil Jalan

CoRR, 2022

An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models.

[BibT_eX]

[DOI]

CoRR, 2022

2021

When random initializations help: a study of variational inference for community detection.

[BibT_eX]

[DOI]

Y. X. Rachel Wang

J. Mach. Learn. Res., 2021

Bootstrapping the Error of Oja's Algorithm.

[BibT_eX]

[DOI]

Robert Lunde

Rachel A. Ward

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

Consistent Nonparametric Methods for Network Assisted Covariate Estimation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

On the Theoretical Properties of the Network Jackknife.

[BibT_eX]

[DOI]

Qiaohui Lin

Robert Lunde

Proceedings of the 37th International Conference on Machine Learning, 2020

On hyperparameter tuning in general clustering problemsm.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

A Theoretical Case Study of Structured Variational Inference for Community Detection.

[BibT_eX]

[DOI]

Mingzhang Yin

Y. X. Rachel Wang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A Unified Framework for Tuning Hyperparameters in Clustering Problems.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues.

[BibT_eX]

[DOI]

Y. X. Rachel Wang

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

Overlapping Clustering Models, and One (class) SVM to Bind Them All.

[BibT_eX]

[DOI]

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

Provable Estimation of the Number of Blocks in Block Models.

[BibT_eX]

[DOI]

Xiuyuan Cheng

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Estimating Mixed Memberships with Sharp Eigenvector Deviations.

[BibT_eX]

[DOI]

CoRR, 2017

Statistical Convergence Analysis of Gradient EM on General Gaussian Mixture Models.

[BibT_eX]

[DOI]

Mingzhang Yin

CoRR, 2017

Convergence of Gradient EM on Multi-component Mixture of Gaussians.

[BibT_eX]

[DOI]

Mingzhang Yin

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

On clustering network-valued data.

[BibT_eX]

[DOI]

Lizhen Lin

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

On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Answering enumeration queries with the crowd.

[BibT_eX]

[DOI]

Commun. ACM, 2016

On Robustness of Kernel Clustering.

[BibT_eX]

[DOI]

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

2015

Crowdsourcing Enumeration Queries: Estimators and Interfaces.

[BibT_eX]

[DOI]

Venketaram Ramachandran

IEEE Trans. Knowl. Data Eng., 2015

The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels.

[BibT_eX]

[DOI]

Peter J. Bickel

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

2014

Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

2013

Hypothesis Testing for Automated Community Detection in Networks.

[BibT_eX]

[DOI]

Peter J. Bickel

CoRR, 2013

Crowdsourced enumeration queries.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012

Active Learning for Crowd-Sourced Databases

[BibT_eX]

[DOI]

CoRR, 2012

Getting It All from the Crowd

[BibT_eX]

[DOI]

CoRR, 2012

Nonparametric Link Prediction in Dynamic Networks.

[BibT_eX]

[DOI]

Michael I. Jordan

Proceedings of the 29th International Conference on Machine Learning, 2012

The Big Data Bootstrap.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Non-parametric Link Prediction

[BibT_eX]

[DOI]

Michael I. Jordan

CoRR, 2011

Theoretical Justification of Popular Link Prediction Heuristics.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Random Walks in Social Networks and their Applications: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Social Network Data Analytics, 2011

2010

Fast nearest-neighbor search in disk-resident graphs.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Fast dynamic reranking in large graphs.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on World Wide Web, 2009

Trade-offs between Agility and Reliability of Predictions in Dynamic Social Networks Used to Model Risk of Microbial Contamination of Food.

[BibT_eX]

[DOI]

Artur Dubrawski

Lujie Chen

Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008

Fast incremental proximity search in large graphs.

[BibT_eX]

[DOI]

Amit Prakash

Proceedings of the Machine Learning, 2008

Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilities.

[BibT_eX]

[DOI]

Lujie Chen

Artur Dubrawski

Proceedings of the Biosurveillance and Biosecurity, International Workshop, 2008

2007

A Latent Space Approach to Dynamic Embedding of Co-occurrence Data.

[BibT_eX]

[DOI]

Sajid M. Siddiqi

Geoffrey J. Gordon

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

A Tractable Approach to Finding Closest Truncated-commute-time Neighbors in Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the UAI 2007, 2007

2006

Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time.

[BibT_eX]

[DOI]

Sajid M. Siddiqi

Geoffrey J. Gordon

Proceedings of the Statistical Network Analysis: Models, Issues, and New Directions, 2006

2005

Dynamic social network analysis using latent space models.

[BibT_eX]

[DOI]

SIGKDD Explor., 2005

Modeling Link Qualities in a Sensor Network.

[BibT_eX]

[DOI]

Jure Leskovec