Deepayan Chakrabarti

According to our database1, Deepayan Chakrabarti authored at least 50 papers between 2001 and 2019.

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Bibliography

2019
Portfolio Construction by Mitigating Error Amplification: The Bounded-Noise Portfolio.
Operations Research, 2019

2018
Joint Label Inference in Networks.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Overlapping Clustering Models, and One (class) SVM to Bind Them All.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Label Propagation with Neural Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Graph Mining.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Discovery of Topical Authorities in Instagram.
Proceedings of the 25th International Conference on World Wide Web, 2016

2015
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Joint Inference of Multiple Label Types in Large Networks.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Speeding up large-scale learning with a social prior.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Graph Mining: Laws, Tools, and Case Studies
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2012

Threshold conditions for arbitrary cascade models on arbitrary networks.
Knowl. Inf. Syst., 2012

Traffic shaping to optimize ad delivery.
Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

Nonparametric Link Prediction in Dynamic Networks.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Theoretical Justification of Popular Link Prediction Heuristics.
Proceedings of the IJCAI 2011, 2011

Event Summarization Using Tweets.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Preserving Personalized Pagerank in Subgraphs.
Proceedings of the 28th International Conference on Machine Learning, 2011

Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Graph Mining: Laws and Generators.
Proceedings of the Managing and Mining Graph Data, 2010

Graph Mining.
Proceedings of the Encyclopedia of Machine Learning, 2010

Kronecker Graphs: An Approach to Modeling Networks.
J. Mach. Learn. Res., 2010

The paths more taken: matching DOM trees to search logs for accurate webpage clustering.
Proceedings of the 19th International Conference on World Wide Web, 2010

Theoretical Justification of Popular Link Prediction Heuristics.
Proceedings of the COLT 2010, 2010

2009
Quicklink selection for navigational query results.
Proceedings of the 18th International Conference on World Wide Web, 2009

ShatterPlots: Fast Tools for Mining Large Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2009

Mining broad latent query aspects from search sessions.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008
Epidemic thresholds in real networks.
ACM Trans. Inf. Syst. Secur., 2008

A graph-theoretic approach to webpage segmentation.
Proceedings of the 17th International Conference on World Wide Web, 2008

Contextual advertising by combining relevance with click feedback.
Proceedings of the 17th International Conference on World Wide Web, 2008

Mortal Multi-Armed Bandits.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Generating succinct titles for web URLs.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
Visualization of large networks with min-cut plots, A-plots and R-MAT.
Int. J. Hum.-Comput. Stud., 2007

Page-level template detection via isotonic smoothing.
Proceedings of the 16th International Conference on World Wide Web, 2007

Bandits for Taxonomies: A Model-based Approach.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Estimating rates of rare events at multiple resolutions.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Information Survival Threshold in Sensor and P2P Networks.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Multi-armed bandit problems with dependent arms.
Proceedings of the Machine Learning, 2007

2006
Graph mining: Laws, generators, and algorithms.
ACM Comput. Surv., 2006

Evolutionary clustering.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005
Relevance search and anomaly detection in bipartite graphs.
SIGKDD Explorations, 2005

Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Neighborhood Formation and Anomaly Detection in Bipartite Graphs.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
A real-time expectation-maximization algorithm for acquiring multiplanar maps of indoor environments with mobile robots.
IEEE Trans. Robotics, 2004

R-MAT: A Recursive Model for Graph Mining.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

AutoPart: Parameter-Free Graph Partitioning and Outlier Detection.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Fully automatic cross-associations.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003
Epidemic Spreading in Real Networks: An Eigenvalue Viewpoint.
Proceedings of the 22nd Symposium on Reliable Distributed Systems (SRDS 2003), 2003

2002
F4: large-scale automated forecasting using fractals.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
A Real-time Algorithm for Acquiring Multi-Planar Volumetric Models with Mobile Robots.
Proceedings of the Robotics Research, The Tenth International Symposium, 2001

Using EM to Learn 3D Models of Indoor Environments with Mobile Robots.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001


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