Using EM to Learn 3D Models of Indoor Environments with Mobile Robots. - Yufeng Liu; Rosemary Emery; Deepayan Chakrabarti; Wolfram Burgard; Sebastian Thrun (ICML, 2001)

A Real-time Algorithm for Acquiring Multi-Planar Volumetric Models with Mobile Robots. - Sebastian Thrun; Wolfram Burgard; Deepayan Chakrabarti; Rosemary Emery; Yufeng Liu; Christian Martin 001 (ISRR, 2001)

F4: large-scale automated forecasting using fractals. - Deepayan Chakrabarti; Christos Faloutsos (CIKM, 2002)

Epidemic Spreading in Real Networks: An Eigenvalue Viewpoint. - Yang Wang 008; Deepayan Chakrabarti; Chenxi Wang; Christos Faloutsos (SRDS, 2003)

Fully automatic cross-associations. - Deepayan Chakrabarti; Spiros Papadimitriou; Dharmendra S. Modha; Christos Faloutsos (KDD, 2004)

AutoPart: Parameter-Free Graph Partitioning and Outlier Detection. - Deepayan Chakrabarti (PKDD, 2004)

R-MAT: A Recursive Model for Graph Mining. - Deepayan Chakrabarti; Yiping Zhan; Christos Faloutsos (SDM, 2004)

A real-time expectation-maximization algorithm for acquiring multiplanar maps of indoor environments with mobile robots. - Sebastian Thrun; Christian Martin 001; Yufeng Liu; Dirk Hähnel; Rosemary Emery-Montemerlo; Deepayan Chakrabarti; Wolfram Burgard (IEEE Trans. Robotics, 2004)

Neighborhood Formation and Anomaly Detection in Bipartite Graphs. - Jimeng Sun 001; Huiming Qu; Deepayan Chakrabarti; Christos Faloutsos (ICDM, 2005)

Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication. - Jure Leskovec; Deepayan Chakrabarti; Jon M. Kleinberg; Christos Faloutsos (PKDD, 2005)

Relevance search and anomaly detection in bipartite graphs. - Jimeng Sun 001; Huiming Qu; Deepayan Chakrabarti; Christos Faloutsos (SIGKDD Explor., 2005)

Evolutionary clustering. - Deepayan Chakrabarti; Ravi Kumar 001; Andrew Tomkins (KDD, 2006)

Graph mining: Laws, generators, and algorithms. - Deepayan Chakrabarti; Christos Faloutsos (ACM Comput. Surv., 2006)

Multi-armed bandit problems with dependent arms. - Sandeep Pandey; Deepayan Chakrabarti; Deepak Agarwal (ICML, 2007)

Information Survival Threshold in Sensor and P2P Networks. - Deepayan Chakrabarti; Jure Leskovec; Christos Faloutsos; Samuel Madden 001; Carlos Guestrin; Michalis Faloutsos (INFOCOM, 2007)

Estimating rates of rare events at multiple resolutions. - Deepak Agarwal; Andrei Z. Broder; Deepayan Chakrabarti; Dejan Diklic; Vanja Josifovski; Mayssam Sayyadian (KDD, 2007)

Bandits for Taxonomies: A Model-based Approach. - Sandeep Pandey; Deepak Agarwal; Deepayan Chakrabarti; Vanja Josifovski (SDM, 2007)

Page-level template detection via isotonic smoothing. - Deepayan Chakrabarti; Ravi Kumar 001; Kunal Punera (WWW, 2007)

Visualization of large networks with min-cut plots, A-plots and R-MAT. - Deepayan Chakrabarti; Christos Faloutsos; Yiping Zhan (Int. J. Hum. Comput. Stud., 2007)

Generating succinct titles for web URLs. - Deepayan Chakrabarti; Ravi Kumar 001; Kunal Punera (KDD, 2008)

Mortal Multi-Armed Bandits. - Deepayan Chakrabarti; Ravi Kumar 001; Filip Radlinski; Eli Upfal (NIPS, 2008)

Contextual advertising by combining relevance with click feedback. - Deepayan Chakrabarti; Deepak Agarwal; Vanja Josifovski (WWW, 2008)

A graph-theoretic approach to webpage segmentation. - Deepayan Chakrabarti; Ravi Kumar 001; Kunal Punera (WWW, 2008)

Epidemic thresholds in real networks. - Deepayan Chakrabarti; Yang Wang 008; Chenxi Wang; Jure Leskovec; Christos Faloutsos (ACM Trans. Inf. Syst. Secur., 2008)

Mining broad latent query aspects from search sessions. - Xuanhui Wang; Deepayan Chakrabarti; Kunal Punera (KDD, 2009)

ShatterPlots: Fast Tools for Mining Large Graphs. - Ana Paula Appel; Deepayan Chakrabarti; Christos Faloutsos; Ravi Kumar 001; Jure Leskovec; Andrew Tomkins (SDM, 2009)

Quicklink selection for navigational query results. - Deepayan Chakrabarti; Ravi Kumar 001; Kunal Punera (WWW, 2009)

The paths more taken: matching DOM trees to search logs for accurate webpage clustering. - Deepayan Chakrabarti; Rupesh R. Mehta (WWW, 2010)

Kronecker Graphs: An Approach to Modeling Networks. - Jure Leskovec; Deepayan Chakrabarti; Jon M. Kleinberg; Christos Faloutsos; Zoubin Ghahramani (J. Mach. Learn. Res., 2010)

Graph Mining. - Deepayan Chakrabarti (Encyclopedia of Machine Learning, 2010)

Graph Mining: Laws and Generators. - Deepayan Chakrabarti; Christos Faloutsos; Mary McGlohon (Managing and Mining Graph Data, 2010)

Preserving Personalized Pagerank in Subgraphs. - Andrea Vattani; Deepayan Chakrabarti; Maxim Gurevich (ICML, 2011)

Event Summarization Using Tweets. - Deepayan Chakrabarti; Kunal Punera (ICWSM, 2011)

Theoretical Justification of Popular Link Prediction Heuristics. - Purnamrita Sarkar; Deepayan Chakrabarti; Andrew W. Moore 001 (IJCAI, 2011)

Non-parametric Link Prediction - Purnamrita Sarkar; Deepayan Chakrabarti; Michael I. Jordan (CoRR, 2011)

Nonparametric Link Prediction in Dynamic Networks. - Purnamrita Sarkar; Deepayan Chakrabarti; Michael I. Jordan (ICML, 2012)

Threshold conditions for arbitrary cascade models on arbitrary networks. - B. Aditya Prakash; Deepayan Chakrabarti; Nicholas Valler; Michalis Faloutsos; Christos Faloutsos (Knowl. Inf. Syst., 2012)

Graph Mining: Laws, Tools, and Case Studies - Deepayan Chakrabarti; Christos Faloutsos (Morgan & Claypool Publishers, 2012)

Speeding up large-scale learning with a social prior. - Deepayan Chakrabarti; Ralf Herbrich (KDD, 2013)

Joint Inference of Multiple Label Types in Large Networks. - Deepayan Chakrabarti; Stanislav Funiak; Jonathan Chang; Sofus A. Macskassy (ICML, 2014)

The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels. - Purnamrita Sarkar; Deepayan Chakrabarti; Peter J. Bickel (NIPS, 2015)

Traffic Shaping to Optimize Ad Delivery. - Deepayan Chakrabarti; Erik Vee (ACM Trans. Economics and Comput., 2015)

Discovery of Topical Authorities in Instagram. - Aditya Pal; Amaç Herdagdelen; Sourav Chatterji; Sumit Taank; Deepayan Chakrabarti (WWW, 2016)

On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations. - Xueyu Mao 001; Purnamrita Sarkar; Deepayan Chakrabarti (ICML, 2017)

Estimating Mixed Memberships with Sharp Eigenvector Deviations. - Xueyu Mao 001; Purnamrita Sarkar; Deepayan Chakrabarti (CoRR, 2017)

Joint Label Inference in Networks. - Deepayan Chakrabarti; Stanislav Funiak; Jonathan Chang; Sofus A. Macskassy (J. Mach. Learn. Res., 2017)

Graph Mining. - Deepayan Chakrabarti (Encyclopedia of Machine Learning and Data Mining, 2017)

Label Propagation with Neural Networks. - Aditya Pal; Deepayan Chakrabarti (CIKM, 2018)

Overlapping Clustering Models, and One (class) SVM to Bind Them All. - Xueyu Mao 001; Purnamrita Sarkar; Deepayan Chakrabarti (NeurIPS, 2018)

Portfolio Construction by Mitigating Error Amplification: The Bounded-Noise Portfolio. - Long Zhao 006; Deepayan Chakrabarti; Kumar Muthuraman (Oper. Res., 2019)

Consistent Nonparametric Methods for Network Assisted Covariate Estimation. - Xueyu Mao 001; Deepayan Chakrabarti; Purnamrita Sarkar (ICML, 2021)

Parameter-free robust optimization for the maximum-Sharpe portfolio problem. - Deepayan Chakrabarti (Eur. J. Oper. Res., 2021)

Robust High-Dimensional Classification From Few Positive Examples. - Deepayan Chakrabarti; Benjamin Fauber (IJCAI, 2022)

Avoiding Biases due to Similarity Assumptions in Node Embeddings. - Deepayan Chakrabarti (KDD, 2022)

Incentive-Aware Models of Dynamic Financial Networks. - Akhil Jalan; Deepayan Chakrabarti; Purnamrita Sarkar (CoRR, 2022)

Robust linear classification from limited training data. - Deepayan Chakrabarti (Mach. Learn., 2022)

SURE: Robust, Explainable, and Fair Classification without Sensitive Attributes. - Deepayan Chakrabarti (KDD, 2023)

Strategic Contract Negotiation in Financial Networks. - Akhil Jalan; Deepayan Chakrabarti (CoRR, 2024)

Incentive-Aware Models of Financial Networks. - Akhil Jalan; Deepayan Chakrabarti; Purnamrita Sarkar (Oper. Res., 2024)