Amol Deshpande

Kostas Tzoumas, Amol Deshpande, Christian S. Jensen: Efficiently adapting graphical models for selectivity estimation. VLDB J. 22(1): 3-27 (2013)

Abdul Quamar, K. Ashwin Kumar, Amol Deshpande: SWORD: scalable workload-aware data placement for transactional workloads. EDBT 2013: 430-441

Amol Deshpande, Minos N. Garofalakis, Michael I. Jordan: Efficient Stepwise Selection in Decomposable Models. CoRR abs/1301.2267 (2013)

K. Ashwin Kumar, Amol Deshpande, Samir Khuller: Data Placement and Replica Selection for Improving Co-location in Distributed Environments. CoRR abs/1302.4168 (2013)

Theodoros Rekatsinas, Amol Deshpande, Ashwin Machanavajjhala: On Sharing Private Data with Multiple Non-Colluding Adversaries. CoRR abs/1302.6556 (2013)

Amol Deshpande, Lisa Hellerstein, Devorah Kletenik: Approximation Algorithms for Stochastic Boolean Function Evaluation and Stochastic Submodular Set Cover. CoRR abs/1303.0726 (2013)

Behnam Bahrak, Amol Deshpande, Jung-Min "Jerry" Park: Spectrum access policy reasoning for policy-based cognitive radios. Computer Networks 56(11): 2649-2663 (2012)

Amol Deshpande, Lisa Hellerstein: Parallel pipelined filter ordering with precedence constraints. ACM Transactions on Algorithms 8(4): 41 (2012)

Taowei David Wang, Amol Deshpande, Ben Shneiderman: A Temporal Pattern Search Algorithm for Personal History Event Visualization. IEEE Trans. Knowl. Data Eng. 24(5): 799-812 (2012)

Walaa Eldin Moustafa, Amol Deshpande, Lise Getoor: Ego-centric Graph Pattern Census. ICDE 2012: 234-245

Koyel Mukherjee, Samir Khuller, Amol Deshpande: Saving on cooling: the thermal scheduling problem. SIGMETRICS 2012: 397-398

Jayanta Mondal, Amol Deshpande: Managing large dynamic graphs efficiently. SIGMOD Conference 2012: 145-156

Theodoros Rekatsinas, Amol Deshpande, Lise Getoor: Local structure and determinism in probabilistic databases. SIGMOD Conference 2012: 373-384

Prithviraj Sen, Amol Deshpande, Lise Getoor: Bisimulation-based Approximate Lifted Inference. CoRR abs/1205.2616 (2012)

Udayan Khurana, Amol Deshpande: Efficient Snapshot Retrieval over Historical Graph Data. CoRR abs/1207.5777 (2012)

Amol Deshpande, Samir Khuller, Azarakhsh Malekian, Mohammed Toossi: Energy Efficient Monitoring in Sensor Networks. Algorithmica 59(1): 94-114 (2011)

Kostas Tzoumas, Amol Deshpande, Christian S. Jensen: Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions. PVLDB 4(11): 852-863 (2011)

Jian Li, Barna Saha, Amol Deshpande: A unified approach to ranking in probabilistic databases. VLDB J. 20(2): 249-275 (2011)

Jian Li, Amol Deshpande: Maximizing Expected Utility for Stochastic Combinatorial Optimization Problems. FOCS 2011: 797-806

Walaa Eldin Moustafa, Galileo Namata, Amol Deshpande, Lise Getoor: Declarative analysis of noisy information networks. ICDE Workshops 2011: 106-111

Bhargav Kanagal, Jian Li, Amol Deshpande: Sensitivity analysis and explanations for robust query evaluation in probabilistic databases. SIGMOD Conference 2011: 841-852

Kostas Tzoumas, Amol Deshpande, Christian S. Jensen: Sharing-Aware Horizontal Partitioning for Exploiting Correlations During Query Processing. PVLDB 3(1): 542-553 (2010)

Jian Li, Amol Deshpande: Ranking Continuous Probabilistic Datasets. PVLDB 3(1): 638-649 (2010)

Prithviraj Sen, Amol Deshpande, Lise Getoor: Read-Once Functions and Query Evaluation in Probabilistic Databases. PVLDB 3(1): 1068-1079 (2010)

Amol Deshpande: Increasing representational power and scaling reasoning in probabilistic databases. ICDT 2010: 1

Jian Li, Amol Deshpande, Samir Khuller: On Computing Compression Trees for Data Collection in Wireless Sensor Networks. INFOCOM 2010: 2115-2123

Bhargav Kanagal, Amol Deshpande: Lineage processing over correlated probabilistic databases. SIGMOD Conference 2010: 675-686

Amol Deshpande, Anthony Hunter (Eds.): Scalable Uncertainty Management - 4th International Conference, SUM 2010, Toulouse, France, September 27-29, 2010. Proceedings. Lecture Notes in Computer Science 6379, Springer 2010, isbn 978-3-642-15950-3

Jian Li, Amol Deshpande: Utility Maximization under Uncertainty. CoRR abs/1012.3189 (2010)

Jian Li, Barna Saha, Amol Deshpande: A Unified Approach to Ranking in Probabilistic Databases. PVLDB 2(1): 502-513 (2009)

Anne Condon, Amol Deshpande, Lisa Hellerstein, Ning Wu: Algorithms for distributional and adversarial pipelined filter ordering problems. ACM Transactions on Algorithms 5(2) (2009)

Prithviraj Sen, Amol Deshpande, Lise Getoor: PrDB: managing and exploiting rich correlations in probabilistic databases. VLDB J. 18(5): 1065-1090 (2009)

Jian Li, Amol Deshpande, Samir Khuller: Minimizing Communication Cost in Distributed Multi-query Processing. ICDE 2009: 772-783

Bhargav Kanagal, Amol Deshpande: Efficient Query Evaluation over Temporally Correlated Probabilistic Streams. ICDE 2009: 1315-1318

Jian Li, Amol Deshpande: Consensus answers for queries over probabilistic databases. PODS 2009: 259-268

Bhargav Kanagal, Amol Deshpande: Indexing correlated probabilistic databases. SIGMOD Conference 2009: 455-468

Amol Deshpande: PrDB: Managing Large-Scale Correlated Probabilistic Databases (Abstract). SUM 2009: 1

Prithviraj Sen, Amol Deshpande, Lise Getoor: Bisimulation-based Approximate Lifted Inference. UAI 2009: 496-505

Amol Deshpande: Data Compression in Sensor Networks. Encyclopedia of Database Systems 2009: 564-565

Amol Deshpande, Carlos Guestrin, Samuel Madden: Model-based Querying in Sensor Networks. Encyclopedia of Database Systems 2009: 1764-1768

Jian Li, Barna Saha, Amol Deshpande: A Unified Approach to Ranking in Probabilistic Databases. CoRR abs/0904.1366 (2009)

Jian Li, Amol Deshpande, Samir Khuller: On Computing Compression Trees for Data Collection in Sensor Networks. CoRR abs/0907.5442 (2009)

Prithviraj Sen, Amol Deshpande, Lise Getoor: Exploiting shared correlations in probabilistic databases. PVLDB 1(1): 809-820 (2008)

Lidan Wang, Amol Deshpande: Predictive Modeling-Based Data Collection in Wireless Sensor Networks. EWSN 2008: 34-51

Xiaodan Wang, Randal C. Burns, Andreas Terzis, Amol Deshpande: Network-Aware Join Processing in Global-Scale Database Federations. ICDE 2008: 586-595

Amol Deshpande, Lisa Hellerstein: Flow Algorithms for Parallel Query Optimization. ICDE 2008: 754-763

Bhargav Kanagal, Amol Deshpande: Online Filtering, Smoothing and Probabilistic Modeling of Streaming data. ICDE 2008: 1160-1169

Amol Deshpande, Samir Khuller, Azarakhsh Malekian, Mohammed Toossi: Energy Efficient Monitoring in Sensor Networks. LATIN 2008: 436-448

Jian Li, Amol Deshpande: Consensus Answers for Queries over Probabilistic Databases. CoRR abs/0812.2049 (2008)

Amol Deshpande, Zachary G. Ives, Vijayshankar Raman: Adaptive Query Processing. Foundations and Trends in Databases 1(1): 1-140 (2007)

Magdalena Balazinska, Amol Deshpande, Michael J. Franklin, Phillip B. Gibbons, Jim Gray, Mark H. Hansen, Michael Liebhold, Suman Nath, Alexander S. Szalay, Vincent Tao: Data Management in the Worldwide Sensor Web. IEEE Pervasive Computing 6(2): 30-40 (2007)

Magdalena Balazinska, Amol Deshpande, Alexandros Labrinidis, Qiong Luo, Samuel Madden, Jun Yang: Report on the Fourth International Workshop on Data Management for Sensor Networks (DMSN 2007). SIGMOD Record 36(4): 53-55 (2007)

Hamid Haidarian Shahri, Galileo Namata, Saket Navlakha, Amol Deshpande, Nick Roussopoulos: A graph-based approach to vehicle tracking in traffic camera video streams. DMSN 2007: 19-24

Prithviraj Sen, Amol Deshpande: Representing and Querying Correlated Tuples in Probabilistic Databases. ICDE 2007: 596-605

Prithviraj Sen, Amol Deshpande, Lise Getoor: Representing Tuple and Attribute Uncertainty in Probabilistic Databases. ICDM Workshops 2007: 507-512

Zachary G. Ives, Amol Deshpande, Vijayshankar Raman: Adaptive query processing: Why, How, When, and What Next? VLDB 2007: 1426-1427

Amol Deshpande, Sunita Sarawagi: Probabilistic Graphical Models and their Role in Databases. VLDB 2007: 1435-1436

Amol Deshpande, Qiong Luo (Eds.): Proceedings of the 4th Workshop on Data Management for Sensor Networks, in conjunction with VLDB, DMSN 2007, Vienna, Austria, September 24, 2007. ACM International Conference Proceeding Series 273, ACM 2007

David Chu, Amol Deshpande, Joseph M. Hellerstein, Wei Hong: Approximate Data Collection in Sensor Networks using Probabilistic Models. ICDE 2006: 48

Anne Condon, Amol Deshpande, Lisa Hellerstein, Ning Wu: Flow algorithms for two pipelined filter ordering problems. PODS 2006: 193-202

Amol Deshpande, Samuel Madden: MauveDB: supporting model-based user views in database systems. SIGMOD Conference 2006: 73-84

Amol Deshpande, Joseph M. Hellerstein, Vijayshankar Raman: Adaptive query processing: why, how, when, what next. SIGMOD Conference 2006: 806-807

Amol Deshpande, Carlos Guestrin, Samuel Madden: Resource-Aware Wireless Sensor-Actuator Networks. IEEE Data Eng. Bull. 28(1): 40-47 (2005)

Amol Deshpande, Carlos Guestrin, Samuel Madden, Joseph M. Hellerstein, Wei Hong: Model-based approximate querying in sensor networks. VLDB J. 14(4): 417-443 (2005)

Amol Deshpande, Carlos Guestrin, Samuel Madden: Using Probabilistic Models for Data Management in Acquisitional Environments. CIDR 2005: 317-328

Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel Madden: Exploiting Correlated Attributes in Acquisitional Query Processing. ICDE 2005: 143-154

Amol Deshpande: An initial study of overheads of eddies. SIGMOD Record 33(1): 44-49 (2004)

Amol Deshpande, Carlos Guestrin, Samuel Madden, Joseph M. Hellerstein, Wei Hong: Model-Driven Data Acquisition in Sensor Networks. VLDB 2004: 588-599

Amol Deshpande, Joseph M. Hellerstein: Lifting the Burden of History from Adaptive Query Processing. VLDB 2004: 948-959

Sailesh Krishnamurthy, Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Samuel Madden, Frederick Reiss, Mehul A. Shah: TelegraphCQ: An Architectural Status Report. IEEE Data Eng. Bull. 26(1): 11-18 (2003)

Suman Nath, Amol Deshpande, Phillip B. Gibbons, Srinivasan Seshan: MobiCom poster: mining a world of smart sensors. Mobile Computing and Communications Review 7(1): 34-36 (2003)

Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Sailesh Krishnamurthy, Samuel Madden, Vijayshankar Raman, Frederick Reiss, Mehul A. Shah: TelegraphCQ: Continuous Dataflow Processing for an Uncertain World. CIDR 2003

Vijayshankar Raman, Amol Deshpande, Joseph M. Hellerstein: Using State Modules for Adaptive Query Processing. ICDE 2003: 353-364

Amol Deshpande, Suman Nath, Phillip B. Gibbons, Srinivasan Seshan: Cache-and-Query for Wide Area Sensor Databases. SIGMOD Conference 2003: 503-514

Amol Deshpande, Suman Nath, Phillip B. Gibbons, Srinivasan Seshan: IrisNet: Internet-scale Resource-Intensive Sensor Services. SIGMOD Conference 2003: 667

Sirish Chandrasekaran, Owen Cooper, Amol Deshpande, Michael J. Franklin, Joseph M. Hellerstein, Wei Hong, Sailesh Krishnamurthy, Samuel Madden, Frederick Reiss, Mehul A. Shah: TelegraphCQ: Continuous Dataflow Processing. SIGMOD Conference 2003: 668

Suman Nath, Amol Deshpande, Yan Ke, Phillip B. Gibbons, Brad Karp, Srinivasan Seshan: IrisNet: An Architecture for Internet-scale Sensing Services. VLDB 2003: 1137-1140

Amol Deshpande, Joseph M. Hellerstein: Decoupled Query Optimization for Federated Database Systems. ICDE 2002: 716-727

Amol Deshpande, Minos N. Garofalakis, Rajeev Rastogi: Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data. SIGMOD Conference 2001: 199-210

Amol Deshpande, Minos N. Garofalakis, Michael I. Jordan: Efficient Stepwise Selection in Decomposable Models. UAI 2001: 128-135

Joseph M. Hellerstein, Michael J. Franklin, Sirish Chandrasekaran, Amol Deshpande, Kris Hildrum, Samuel Madden, Vijayshankar Raman, Mehul A. Shah: Adaptive Query Processing: Technology in Evolution. IEEE Data Eng. Bull. 23(2): 7-18 (2000)