Deepayan Chakrabarti

69 papers A* 29A 6B 1C 1Journal 22Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
GraphWeave : Interpretable and Robust Graph Generation via Random Walk Trajectories.
ECML/PKDD (3)
Rahul Nandakumar, Deepayan Chakrabarti
2025 J jnl
GraphWeave: Interpretable and Robust Graph Generation via Random Walk Trajectories.
CoRR
Rahul Nandakumar, Deepayan Chakrabarti
2024 J jnl
Incentive-Aware Models of Financial Networks.
Oper. Res.
Akhil Jalan, Deepayan Chakrabarti, Purnamrita Sarkar
2024 J jnl
Strategic Contract Negotiation in Financial Networks.
CoRR
Akhil Jalan, Deepayan Chakrabarti
2023 A* conf
SURE: Robust, Explainable, and Fair Classification without Sensitive Attributes.
KDD
Deepayan Chakrabarti
2022 A* conf
Avoiding Biases due to Similarity Assumptions in Node Embeddings.
KDD
Deepayan Chakrabarti
2022 J jnl
Incentive-Aware Models of Dynamic Financial Networks.
CoRR
Akhil Jalan, Deepayan Chakrabarti, Purnamrita Sarkar
2022 A* conf
Robust High-Dimensional Classification From Few Positive Examples.
IJCAI
Deepayan Chakrabarti, Benjamin Fauber
2022 J jnl
Robust linear classification from limited training data.
Mach. Learn.
Deepayan Chakrabarti
2021 A* conf
Consistent Nonparametric Methods for Network Assisted Covariate Estimation.
ICML
Xueyu Mao, Deepayan Chakrabarti, Purnamrita Sarkar
2021 J jnl
Parameter-free robust optimization for the maximum-Sharpe portfolio problem.
Eur. J. Oper. Res.
Deepayan Chakrabarti
2021 J jnl
Robust Linear Classification from Limited Training Data.
CoRR
Deepayan Chakrabarti
2019 J jnl
Portfolio Construction by Mitigating Error Amplification: The Bounded-Noise Portfolio.
Oper. Res.
Long Zhao, Deepayan Chakrabarti, Kumar Muthuraman
2018 — conf
Joint Label Inference in Networks.
WWW (Companion Volume)
Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy
2018 A conf
Label Propagation with Neural Networks.
CIKM
Aditya Pal, Deepayan Chakrabarti
2018 A* conf
Overlapping Clustering Models, and One (class) SVM to Bind Them All.
NeurIPS
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
2018 J jnl
Overlapping Clustering Models, and One (class) SVM to Bind Them All.
CoRR
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
2017 J jnl
Estimating Mixed Memberships with Sharp Eigenvector Deviations.
CoRR
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
2017 — ch.
Graph Mining.
Encyclopedia of Machine Learning and Data Mining
Deepayan Chakrabarti
2017 J jnl
Joint Label Inference in Networks.
J. Mach. Learn. Res.
Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy
2017 A* conf
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations.
ICML
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
2016 A* conf
Discovery of Topical Authorities in Instagram.
WWW
Aditya Pal, Amaç Herdagdelen, Sourav Chatterji, Sumit Taank, Deepayan Chakrabarti
2015 — conf
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels.
NIPS
Purnamrita Sarkar, Deepayan Chakrabarti, Peter J. Bickel
2015 J jnl
Traffic Shaping to Optimize Ad Delivery.
ACM Trans. Economics and Comput.
Deepayan Chakrabarti, Erik Vee
2014 A* conf
Joint Inference of Multiple Label Types in Large Networks.
ICML
Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy
2014 J jnl
Joint Inference of Multiple Label Types in Large Networks.
CoRR
Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy
2013 A* conf
Speeding up large-scale learning with a social prior.
KDD
Deepayan Chakrabarti, Ralf Herbrich
2012 — book
Graph Mining: Laws, Tools, and Case Studies
Deepayan Chakrabarti, Christos Faloutsos
2012 A* conf
Nonparametric Link Prediction in Dynamic Networks.
ICML
Purnamrita Sarkar, Deepayan Chakrabarti, Michael I. Jordan
2012 J jnl
Threshold conditions for arbitrary cascade models on arbitrary networks.
Knowl. Inf. Syst.
B. Aditya Prakash, Deepayan Chakrabarti, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos
2012 A* conf
Traffic shaping to optimize ad delivery.
EC
Deepayan Chakrabarti, Erik Vee
2011 A conf
Event Summarization Using Tweets.
ICWSM
Deepayan Chakrabarti, Kunal Punera
2011 J jnl
Non-parametric Link Prediction
CoRR
Purnamrita Sarkar, Deepayan Chakrabarti, Michael I. Jordan
2011 A* conf
Preserving Personalized Pagerank in Subgraphs.
ICML
Andrea Vattani, Deepayan Chakrabarti, Maxim Gurevich
2011 A* conf
Theoretical Justification of Popular Link Prediction Heuristics.
IJCAI
Purnamrita Sarkar, Deepayan Chakrabarti, Andrew W. Moore
2011 A* conf
Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks.
ICDM
B. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, Christos Faloutsos
2010 — ch.
Graph Mining.
Encyclopedia of Machine Learning
Deepayan Chakrabarti
2010 — ch.
Graph Mining: Laws and Generators.
Managing and Mining Graph Data
Deepayan Chakrabarti, Christos Faloutsos, Mary McGlohon
2010 J jnl
Kronecker Graphs: An Approach to Modeling Networks.
J. Mach. Learn. Res.
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos, Zoubin Ghahramani
2010 A* conf
The paths more taken: matching DOM trees to search logs for accurate webpage clustering.
WWW
Deepayan Chakrabarti, Rupesh R. Mehta
2010 A* conf
Theoretical Justification of Popular Link Prediction Heuristics.
COLT
Purnamrita Sarkar, Deepayan Chakrabarti, Andrew W. Moore
2009 A* conf
Mining broad latent query aspects from search sessions.
KDD
Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera
2009 A* conf
Quicklink selection for navigational query results.
WWW
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
2009 A conf
ShatterPlots: Fast Tools for Mining Large Graphs.
SDM
Ana Paula Appel, Deepayan Chakrabarti, Christos Faloutsos, Ravi Kumar, Jure Leskovec, Andrew Tomkins
2008 A* conf
A graph-theoretic approach to webpage segmentation.
WWW
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
2008 A* conf
Contextual advertising by combining relevance with click feedback.
WWW
Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifovski
2008 J jnl
Epidemic thresholds in real networks.
ACM Trans. Inf. Syst. Secur.
Deepayan Chakrabarti, Yang Wang, Chenxi Wang, Jure Leskovec, Christos Faloutsos
2008 A* conf
Generating succinct titles for web URLs.
KDD
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
2008 J jnl
Kronecker Graphs: An Approach to Modeling Networks.
CoRR
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos, Zoubin Ghahramani
2008 — conf
Mortal Multi-Armed Bandits.
NIPS
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal
2007 A conf
Bandits for Taxonomies: A Model-based Approach.
SDM
Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski
2007 A* conf
Estimating rates of rare events at multiple resolutions.
KDD
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian
2007 A* conf
Information Survival Threshold in Sensor and P2P Networks.
INFOCOM
Deepayan Chakrabarti, Jure Leskovec, Christos Faloutsos, Samuel Madden, Carlos Guestrin, Michalis Faloutsos
2007 A* conf
Multi-armed bandit problems with dependent arms.
ICML
Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarwal
2007 A* conf
Page-level template detection via isotonic smoothing.
WWW
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
2007 J jnl
Visualization of large networks with min-cut plots, A-plots and R-MAT.
Int. J. Hum. Comput. Stud.
Deepayan Chakrabarti, Christos Faloutsos, Yiping Zhan
2006 A* conf
Evolutionary clustering.
KDD
Deepayan Chakrabarti, Ravi Kumar, Andrew Tomkins
2006 J jnl
Graph mining: Laws, generators, and algorithms.
ACM Comput. Surv.
Deepayan Chakrabarti, Christos Faloutsos
2005 A* conf
Neighborhood Formation and Anomaly Detection in Bipartite Graphs.
ICDM
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Christos Faloutsos
2005 — conf
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication.
PKDD
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos
2005 J jnl
Relevance search and anomaly detection in bipartite graphs.
SIGKDD Explor.
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Christos Faloutsos
2004 J jnl
A real-time expectation-maximization algorithm for acquiring multiplanar maps of indoor environments with mobile robots.
IEEE Trans. Robotics
Sebastian Thrun, Christian Martin, Yufeng Liu, Dirk Hähnel, Rosemary Emery-Montemerlo, Deepayan Chakrabarti, Wolfram Burgard
2004 — conf
AutoPart: Parameter-Free Graph Partitioning and Outlier Detection.
PKDD
Deepayan Chakrabarti
2004 A* conf
Fully automatic cross-associations.
KDD
Deepayan Chakrabarti, Spiros Papadimitriou, Dharmendra S. Modha, Christos Faloutsos
2004 A conf
R-MAT: A Recursive Model for Graph Mining.
SDM
Deepayan Chakrabarti, Yiping Zhan, Christos Faloutsos
2003 B conf
Epidemic Spreading in Real Networks: An Eigenvalue Viewpoint.
SRDS
Yang Wang, Deepayan Chakrabarti, Chenxi Wang, Christos Faloutsos
2002 A conf
F4: large-scale automated forecasting using fractals.
CIKM
Deepayan Chakrabarti, Christos Faloutsos
2001 C conf
A Real-time Algorithm for Acquiring Multi-Planar Volumetric Models with Mobile Robots.
ISRR
Sebastian Thrun, Wolfram Burgard, Deepayan Chakrabarti, Rosemary Emery, Yufeng Liu, Christian Martin
2001 A* conf
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots.
ICML
Yufeng Liu, Rosemary Emery, Deepayan Chakrabarti, Wolfram Burgard, Sebastian Thrun