Anirban Dasgupta
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
45
Venues
20
Active years
2003–2026
Best venue rank
A*
Where they publish
Papers
45 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WSDM | Local Fragments, Global Gains: Subgraph Counting using Graph Neural Networks. | Shubhajit Roy, Shrutimoy Das, Binita Maity, Anant Kumar, Anirban Dasgupta |
| 2025 | ICDM | Linear Programming Based Approximation to Individually Fair k-Clustering with Outliers. | Binita Maity, Shrutimoy Das, Anirban Dasgupta |
| 2024 | AAAI | Simple Weak Coresets for Non-decomposable Classification Measures. | Jayesh Malaviya, Anirban Dasgupta, Rachit Chhaya |
| 2024 | COMAD | VPTDrone: Video Processing Toolkit for Smart Surveillance Drone. | Dwip Dalal, Anirban Dasgupta |
| 2024 | ICPR | Optic Atrophy Classification from Fundus Images with Few-Shot Learning. | Anirban Dasgupta, Anwesha Sengupta, Shubhobrata Bhattacharya |
| 2022 | AISTATS | On Coresets for Fair Regression and Individually Fair Clustering. | Rachit Chhaya, Anirban Dasgupta, Jayesh Choudhari, Supratim Shit |
| 2021 | PAKDD | Analyzing Topic Transitions in Text-Based Social Cascades Using Dual-Network Hawkes Process. | Jayesh Choudhari, Srikanta Bedathur, Indrajit Bhattacharya, Anirban Dasgupta |
| 2020 | ICML | On Coresets for Regularized Regression. | Rachit Chhaya, Anirban Dasgupta, Supratim Shit |
| 2020 | ICML | Streaming Coresets for Symmetric Tensor Factorization. | Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta, Supratim Shit |
| 2018 | AAAI | Task-Specific Representation Learning for Web-Scale Entity Disambiguation. | Rijula Kar, Susmija Reddy, Sourangshu Bhattacharya, Anirban Dasgupta, Soumen Chakrabarti |
| 2018 | ICDM | Discovering Topical Interactions in Text-Based Cascades Using Hidden Markov Hawkes Processes. | Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, Srikanta Bedathur |
| 2017 | ICALP | Saving Critical Nodes with Firefighters is FPT. | Jayesh Choudhari, Anirban Dasgupta, Neeldhara Misra, M. S. Ramanujan |
| 2017 | WWW | Caching with Dual Costs. | Anirban Dasgupta, Ravi Kumar, Tams Sarls |
| 2016 | ICDT | A Framework for Estimating Stream Expression Cardinalities. | Anirban Dasgupta, Kevin J. Lang, Lee Rhodes, Justin Thaler |
| 2016 | WWW | On Sampling Nodes in a Network. | Flavio Chierichetti, Anirban Dasgupta, Ravi Kumar, Silvio Lattanzi, Tams Sarls |
| 2015 | FOCS | Approximate Modularity. | Flavio Chierichetti, Abhimanyu Das, Anirban Dasgupta, Ravi Kumar |
| 2014 | WWW | On estimating the average degree. | Anirban Dasgupta, Ravi Kumar, Tams Sarls |
| 2014 | SODA | Learning Entangled Single-Sample Gaussians. | Flavio Chierichetti, Anirban Dasgupta, Ravi Kumar, Silvio Lattanzi |
| 2013 | ACL | Summarization Through Submodularity and Dispersion. | Anirban Dasgupta, Ravi Kumar, Sujith Ravi |
| 2013 | WWW | Aggregating crowdsourced binary ratings. | Nilesh N. Dalvi, Anirban Dasgupta, Ravi Kumar, Vibhor Rastogi |
| 2013 | WWW | Optimal hashing schemes for entity matching. | Nilesh N. Dalvi, Vibhor Rastogi, Anirban Dasgupta, Anish Das Sarma, Tams Sarls |
| 2013 | WWW | Aggregating information from the crowd and the network. | Anirban Dasgupta |
| 2013 | WWW | Crowdsourced judgement elicitation with endogenous proficiency. | Anirban Dasgupta, Arpita Ghosh |
| 2012 | KDD | Social sampling. | Anirban Dasgupta, Ravi Kumar, D. Sivakumar |
| 2012 | SIGIR | Vote calibration in community question-answering systems. | Bee-Chung Chen, Anirban Dasgupta, Xuanhui Wang, Jie Yang |
| 2012 | WSDM | Overcoming browser cookie churn with clustering. | Anirban Dasgupta, Maxim Gurevich, Liang Zhang, Belle L. Tseng, Achint Oommen Thomas |
| 2011 | KDD | Fast locality-sensitive hashing. | Anirban Dasgupta, Ravi Kumar, Tams Sarls |
| 2011 | WSDM | Enhanced email spam filtering through combining similarity graphs. | Anirban Dasgupta, Maxim Gurevich, Kunal Punera |
| 2011 | SPAA | On scheduling in map-reduce and flow-shops. | Benjamin Moseley, Anirban Dasgupta, Ravi Kumar, Tams Sarls |
| 2010 | STOC | A sparse Johnson: Lindenstrauss transform. | Anirban Dasgupta, Ravi Kumar, Tams Sarls |
| 2009 | ICML | Feature hashing for large scale multitask learning. | Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg |
| 2009 | SODA | Online story scheduling in web advertising. | Anirban Dasgupta, Arpita Ghosh, Hamid Nazerzadeh, Prabhakar Raghavan |
| 2008 | KDD | De-duping URLs via rewrite rules. | Anirban Dasgupta, Ravi Kumar, Amit Sasturkar |
| 2008 | PODS | Approximation algorithms for co-clustering. | Aris Anagnostopoulos, Anirban Dasgupta, Ravi Kumar |
| 2008 | WWW | Statistical properties of community structure in large social and information networks. | Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Michael W. Mahoney |
| 2008 | SODA | Sampling algorithms and coresets for ℓ | Anirban Dasgupta, Petros Drineas, Boulos Harb, Ravi Kumar, Michael W. Mahoney |
| 2007 | KDD | Feature selection methods for text classification. | Anirban Dasgupta, Petros Drineas, Boulos Harb, Vanja Josifovski, Michael W. Mahoney |
| 2007 | WWW | The discoverability of the web. | Anirban Dasgupta, Arpita Ghosh, Ravi Kumar, Christopher Olston, Sandeep Pandey, Andrew Tomkins |
| 2007 | SODA | Spectral clustering with limited independence. | Anirban Dasgupta, John E. Hopcroft, Ravi Kannan, Pradipta Prometheus Mitra |
| 2006 | ESA | Spectral Clustering by Recursive Partitioning. | Anirban Dasgupta, John E. Hopcroft, Ravi Kannan, Pradipta Prometheus Mitra |
| 2005 | FOCS | On Learning Mixtures of Heavy-Tailed Distributions. | Anirban Dasgupta, John E. Hopcroft, Jon M. Kleinberg, Mark Sandler |
| 2005 | KDD | Variable latent semantic indexing. | Anirban Dasgupta, Ravi Kumar, Prabhakar Raghavan, Andrew Tomkins |
| 2004 | FOCS | The Price of Stability for Network Design with Fair Cost Allocation. | Elliot Anshelevich, Anirban Dasgupta, Jon M. Kleinberg, va Tardos, Tom Wexler, Tim Roughgarden |
| 2004 | FOCS | Spectral Analysis of Random Graphs with Skewed Degree Distributions. | Anirban Dasgupta, John E. Hopcroft, Frank McSherry |
| 2003 | STOC | Near-optimal network design with selfish agents. | Elliot Anshelevich, Anirban Dasgupta, va Tardos, Tom Wexler |