Deepayan Chakrabarti

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 18

Top Topics

Simplifying Assumptions

Nonnegative Matrix Factorization

Joint Inference

Positive Examples

Top Venues

Publications

Akhil Jalan, Deepayan Chakrabarti
Strategic Contract Negotiation in Financial Networks. CoRR (2024)
Deepayan Chakrabarti
SURE: Robust, Explainable, and Fair Classification without Sensitive Attributes. KDD (2023)
Deepayan Chakrabarti, Benjamin Fauber
Robust High-Dimensional Classification From Few Positive Examples. IJCAI (2022)
Deepayan Chakrabarti
Robust linear classification from limited training data. Mach. Learn. 111 (5) (2022)
Akhil Jalan, Deepayan Chakrabarti, Purnamrita Sarkar
Incentive-Aware Models of Dynamic Financial Networks. CoRR (2022)
Deepayan Chakrabarti
Avoiding Biases due to Similarity Assumptions in Node Embeddings. KDD (2022)
Deepayan Chakrabarti
Parameter-free robust optimization for the maximum-Sharpe portfolio problem. Eur. J. Oper. Res. 293 (1) (2021)
Deepayan Chakrabarti
Robust Linear Classification from Limited Training Data. CoRR (2021)
Xueyu Mao, Deepayan Chakrabarti, Purnamrita Sarkar
Consistent Nonparametric Methods for Network Assisted Covariate Estimation. ICML (2021)
Long Zhao, Deepayan Chakrabarti, Kumar Muthuraman
Portfolio Construction by Mitigating Error Amplification: The Bounded-Noise Portfolio. Oper. Res. 67 (4) (2019)
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
Overlapping Clustering Models, and One (class) SVM to Bind Them All. NeurIPS (2018)
Aditya Pal, Deepayan Chakrabarti
Label Propagation with Neural Networks. CIKM (2018)
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
Overlapping Clustering Models, and One (class) SVM to Bind Them All. CoRR (2018)
Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy
Joint Label Inference in Networks. WWW (Companion Volume) (2018)
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations. ICML (2017)
Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy
Joint Label Inference in Networks. J. Mach. Learn. Res. 18 (2017)
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
Estimating Mixed Memberships with Sharp Eigenvector Deviations. CoRR (2017)
Aditya Pal, Amaç Herdagdelen, Sourav Chatterji, Sumit Taank, Deepayan Chakrabarti
Discovery of Topical Authorities in Instagram. WWW (2016)
Purnamrita Sarkar, Deepayan Chakrabarti, Peter J. Bickel
The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels. NIPS (2015)
Deepayan Chakrabarti, Erik Vee
Traffic Shaping to Optimize Ad Delivery. ACM Trans. Economics and Comput. 3 (2) (2015)
Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy
Joint Inference of Multiple Label Types in Large Networks. CoRR (2014)
Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy
Joint Inference of Multiple Label Types in Large Networks. ICML (2014)
Deepayan Chakrabarti, Ralf Herbrich
Speeding up large-scale learning with a social prior. KDD (2013)
Deepayan Chakrabarti, Erik Vee
Traffic shaping to optimize ad delivery. EC (2012)
Purnamrita Sarkar, Deepayan Chakrabarti, Michael I. Jordan
Nonparametric Link Prediction in Dynamic Networks. ICML (2012)
B. Aditya Prakash, Deepayan Chakrabarti, Nicholas Valler, Michalis Faloutsos, Christos Faloutsos
Threshold conditions for arbitrary cascade models on arbitrary networks. Knowl. Inf. Syst. 33 (3) (2012)
Purnamrita Sarkar, Deepayan Chakrabarti, Michael I. Jordan
Non-parametric Link Prediction CoRR (2011)
Deepayan Chakrabarti, Kunal Punera
Event Summarization Using Tweets. ICWSM (2011)
Andrea Vattani, Deepayan Chakrabarti, Maxim Gurevich
Preserving Personalized Pagerank in Subgraphs. ICML (2011)
Purnamrita Sarkar, Deepayan Chakrabarti, Andrew W. Moore
Theoretical Justification of Popular Link Prediction Heuristics. IJCAI (2011)
B. Aditya Prakash, Deepayan Chakrabarti, Michalis Faloutsos, Nicholas Valler, Christos Faloutsos
Threshold Conditions for Arbitrary Cascade Models on Arbitrary Networks. ICDM (2011)
Purnamrita Sarkar, Deepayan Chakrabarti, Andrew W. Moore
Theoretical Justification of Popular Link Prediction Heuristics. COLT (2010)
Deepayan Chakrabarti, Rupesh R. Mehta
The paths more taken: matching DOM trees to search logs for accurate webpage clustering. WWW (2010)
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos, Zoubin Ghahramani
Kronecker Graphs: An Approach to Modeling Networks. J. Mach. Learn. Res. 11 (2010)
Ana Paula Appel, Deepayan Chakrabarti, Christos Faloutsos, Ravi Kumar, Jure Leskovec, Andrew Tomkins
ShatterPlots: Fast Tools for Mining Large Graphs. SDM (2009)
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
Quicklink selection for navigational query results. WWW (2009)
Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera
Mining broad latent query aspects from search sessions. KDD (2009)
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos, Zoubin Ghahramani
Kronecker Graphs: An Approach to Modeling Networks. CoRR (2008)
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
Generating succinct titles for web URLs. KDD (2008)
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski, Eli Upfal
Mortal Multi-Armed Bandits. NIPS (2008)
Deepayan Chakrabarti, Yang Wang, Chenxi Wang, Jure Leskovec, Christos Faloutsos
Epidemic thresholds in real networks. ACM Trans. Inf. Syst. Secur. 10 (4) (2008)
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
A graph-theoretic approach to webpage segmentation. WWW (2008)
Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifovski
Contextual advertising by combining relevance with click feedback. WWW (2008)
Deepayan Chakrabarti, Ravi Kumar, Kunal Punera
Page-level template detection via isotonic smoothing. WWW (2007)
Deepayan Chakrabarti, Jure Leskovec, Christos Faloutsos, Samuel Madden, Carlos Guestrin, Michalis Faloutsos
Information Survival Threshold in Sensor and P2P Networks. INFOCOM (2007)
Deepayan Chakrabarti, Christos Faloutsos, Yiping Zhan
Visualization of large networks with min-cut plots, A-plots and R-MAT. Int. J. Hum. Comput. Stud. 65 (5) (2007)
Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski
Bandits for Taxonomies: A Model-based Approach. SDM (2007)
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian
Estimating rates of rare events at multiple resolutions. KDD (2007)
Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarwal
Multi-armed bandit problems with dependent arms. ICML (2007)
Deepayan Chakrabarti, Christos Faloutsos
Graph mining: Laws, generators, and algorithms. ACM Comput. Surv. 38 (1) (2006)
Deepayan Chakrabarti, Ravi Kumar, Andrew Tomkins
Evolutionary clustering. KDD (2006)
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Christos Faloutsos
Relevance search and anomaly detection in bipartite graphs. SIGKDD Explor. 7 (2) (2005)
Jimeng Sun, Huiming Qu, Deepayan Chakrabarti, Christos Faloutsos
Neighborhood Formation and Anomaly Detection in Bipartite Graphs. ICDM (2005)
Jure Leskovec, Deepayan Chakrabarti, Jon M. Kleinberg, Christos Faloutsos
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication. PKDD (2005)
Sebastian Thrun, Christian Martin, Yufeng Liu, Dirk Hähnel, Rosemary Emery-Montemerlo, Deepayan Chakrabarti, Wolfram Burgard
A real-time expectation-maximization algorithm for acquiring multiplanar maps of indoor environments with mobile robots. IEEE Trans. Robotics 20 (3) (2004)
Deepayan Chakrabarti, Spiros Papadimitriou, Dharmendra S. Modha, Christos Faloutsos
Fully automatic cross-associations. KDD (2004)
Deepayan Chakrabarti, Yiping Zhan, Christos Faloutsos
R-MAT: A Recursive Model for Graph Mining. SDM (2004)
Deepayan Chakrabarti
AutoPart: Parameter-Free Graph Partitioning and Outlier Detection. PKDD (2004)
Yang Wang, Deepayan Chakrabarti, Chenxi Wang, Christos Faloutsos
Epidemic Spreading in Real Networks: An Eigenvalue Viewpoint. SRDS (2003)
Deepayan Chakrabarti, Christos Faloutsos
F4: large-scale automated forecasting using fractals. CIKM (2002)
Sebastian Thrun, Wolfram Burgard, Deepayan Chakrabarti, Rosemary Emery, Yufeng Liu, Christian Martin
A Real-time Algorithm for Acquiring Multi-Planar Volumetric Models with Mobile Robots. ISRR (2001)
Yufeng Liu, Rosemary Emery, Deepayan Chakrabarti, Wolfram Burgard, Sebastian Thrun
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots. ICML (2001)