Magdalena Balazinska

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 82

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Lindsey Linxi Wei, Chung Yik Edward Yeung, Hongjian Yu, Jingchuan Zhou, Dong He, Magdalena Balazinska
Demonstration of MaskSearch: Efficiently Querying Image Masks for Machine Learning Workflows. CoRR (2024)
Enhao Zhang, Maureen Daum, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]. CoRR (2023)
Maureen Daum, Enhao Zhang, Dong He, Stephen Mussmann, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building. Proc. VLDB Endow. 16 (13) (2023)
Enhao Zhang, Maureen Daum, Dong He, Manasi Ganti, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska
EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions. Proc. VLDB Endow. 16 (12) (2023)
Maureen Daum, Enhao Zhang, Dong He, Stephen Mussmann, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska
VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building. CoRR (2023)
Enhao Zhang, Maureen Daum, Dong He, Brandon Haynes, Ranjay Krishna, Magdalena Balazinska
EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions. Proc. VLDB Endow. 16 (11) (2023)
Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, Magdalena Balazinska
MaskSearch: Querying Image Masks at Scale. CoRR (2023)
Kyle B. Deeds, Dan Suciu, Magdalena Balazinska
SafeBound: A Practical System for Generating Cardinality Bounds. Proc. ACM Manag. Data 1 (1) (2023)
Magdalena Balazinska, Surajit Chaudhuri, AnHai Doan, Joseph M. Hellerstein, Hanuma Kodavalla, Ippokratis Pandis, Matei Zaharia
Cloud Data Systems: What are the Opportunities for the Database Research Community? Proc. VLDB Endow. 15 (12) (2022)
Anastasia Ailamaki, Leilani Battle, Johannes Gehrke, Masaru Kitsuregawa, David Maier, Christopher Ré, Meihui Zhang, Magdalena Balazinska
The DB Community vis-à-vis Environmental, Health, and Societal Grand Challenges: Innovation Engine, Plumber, or Bystander? SIGMOD Conference (2022)
Magdalena Balazinska, Xiaofang Zhou
Editorial for S.I.: VLDB 2020. VLDB J. 31 (6) (2022)
Maureen Daum, Enhao Zhang, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna, Apryle Craig, Aaron Wirsing
VOCAL: Video Organization and Interactive Compositional AnaLytics. CIDR (2022)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
The Seattle report on database research. Commun. ACM 65 (8) (2022)
Maureen Daum, Brandon Haynes, Dong He, Amrita Mazumdar, Magdalena Balazinska
TASM: A Tile-Based Storage Manager for Video Analytics. ICDE (2021)
Dong He, Maureen Daum, Magdalena Balazinska
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation [Technical Report]. CoRR (2021)
Brandon Haynes, Maureen Daum, Dong He, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze
VSS: A Storage System for Video Analytics. SIGMOD Conference (2021)
Brandon Haynes, Maureen Daum, Dong He, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze
VSS: A Storage System for Video Analytics [Technical Report]. CoRR (2021)
Vanessa Lin, Yongming Ge, Maureen Daum, Alvin Cheung, Brandon Haynes, Magdalena Balazinska
Demonstration of Apperception: A Database Management System for Geospatial Video Data. Proc. VLDB Endow. 14 (12) (2021)
Magdalena Balazinska
Congratulations! You Have Become a Senior Researcher. Now What? SIGMOD Rec. 50 (4) (2021)
Dong He, Maureen Daum, Walter Cai, Magdalena Balazinska
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation. Proc. VLDB Endow. 15 (1) (2021)
Maureen Daum, Brandon Haynes, Dong He, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung
TASM: A Tile-Based Storage Manager for Video Analytics. CoRR (2020)
Laurel J. Orr, Magdalena Balazinska, Dan Suciu
Sample Debiasing in the Themis Open World Database System. SIGMOD Conference (2020)
Jingjing Wang, Magdalena Balazinska
Deluceva: Delta-Based Neural Network Inference for Fast Video Analytics. SSDBM (2020)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (7) (2020)
Brandon Haynes, Maureen Daum, Amrita Mazumdar, Magdalena Balazinska, Alvin Cheung, Luis Ceze
VisualWorldDB: A DBMS for the Visual World. CIDR (2020)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (13) (2020)
Laurel J. Orr, Samuel K. Ainsworth, Kevin G. Jamieson, Walter Cai, Magdalena Balazinska, Dan Suciu
Mosaic: A Sample-Based Database System for Open World Query Processing. CIDR (2020)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (5) (2020)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (8) (2020)
Parmita Mehta, Stephen Portillo, Magdalena Balazinska, Andrew J. Connolly
Toward Sampling for Deep Learning Model Diagnosis. ICDE (2020)
Laurel J. Orr, Magdalena Balazinska, Dan Suciu
EntropyDB: a probabilistic approach to approximate query processing. VLDB J. 29 (1) (2020)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (10) (2020)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (9) (2020)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (6) (2020)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (12) (2020)
Parmita Mehta, Stephen Portillo, Magdalena Balazinska, Andrew J. Connolly
Sampling for Deep Learning Model Diagnosis (Technical Report). CoRR (2020)
Walter Cai, Magdalena Balazinska, Dan Suciu
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities. SIGMOD Conference (2019)
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi
An Empirical Analysis of Deep Learning for Cardinality Estimation. CoRR (2019)
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu
The Seattle Report on Database Research. SIGMOD Rec. 48 (4) (2019)
Laurel J. Orr, Magdalena Balazinska, Dan Suciu
EntropyDB: A Probabilistic Approach to Approximate Query Processing. CoRR (2019)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (4) (2019)
Amrita Mazumdar, Brandon Haynes, Magdalena Balazinska, Luis Ceze, Alvin Cheung, Mark Oskin
Vignette: Perceptual Compression for Video Storage and Processing Systems. CoRR (2019)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (3) (2019)
Brandon Haynes, Amrita Mazumdar, Magdalena Balazinska, Luis Ceze, Alvin Cheung
Visual Road: A Video Data Management Benchmark. SIGMOD Conference (2019)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (2) (2019)
Magdalena Balazinska, Xiaofang Zhou
Front Matter. Proc. VLDB Endow. 13 (1) (2019)
Brandon Haynes, Amrita Mazumdar, Armin Alaghi, Magdalena Balazinska, Luis Ceze, Alvin Cheung
LightDB: A DBMS for Virtual Reality Video. Proc. VLDB Endow. 11 (10) (2018)
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi
Learning State Representations for Query Optimization with Deep Reinforcement Learning. DEEM@SIGMOD (2018)
Jennifer Ortiz, Brendan Lee, Magdalena Balazinska, Johannes Gehrke, Joseph L. Hellerstein
SLAOrchestrator: Reducing the Cost of Performance SLAs for Cloud Data Analytics. USENIX Annual Technical Conference (2018)
Tomer Kaftan, Magdalena Balazinska, Alvin Cheung, Johannes Gehrke
Cuttlefish: A Lightweight Primitive for Adaptive Query Processing. CoRR (2018)
Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, S. Sathiya Keerthi
Learning State Representations for Query Optimization with Deep Reinforcement Learning. CoRR (2018)
Jingjing Wang, Tobin Baker, Magdalena Balazinska, Daniel Halperin, Brandon Haynes, Bill Howe, Dylan Hutchison, Shrainik Jain, Ryan Maas, Parmita Mehta, Dominik Moritz, Brandon Myers, Jennifer Ortiz, Dan Suciu, Andrew Whitaker, Shengliang Xu
The Myria Big Data Management and Analytics System and Cloud Services. CIDR (2017)
Laurel J. Orr, Magdalena Balazinska, Dan Suciu
Probabilistic Database Summarization for Interactive Data Exploration. CoRR (2017)
Helga Gudmundsdottir, Babak Salimi, Magdalena Balazinska, Dan R. K. Ports, Dan Suciu
A Demonstration of Interactive Analysis of Performance Measurements with Viska. SIGMOD Conference (2017)
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. Proc. VLDB Endow. 10 (11) (2017)
Laurel J. Orr, Dan Suciu, Magdalena Balazinska
Probabilistic Database Summarization for Interactive Data Exploration. Proc. VLDB Endow. 10 (10) (2017)
Brandon Haynes, Artem Minyaylov, Magdalena Balazinska, Luis Ceze, Alvin Cheung
VisualCloud Demonstration: A DBMS for Virtual Reality. SIGMOD Conference (2017)
Magdalena Balazinska, Luis Ceze, Alvin Cheung, Brian Curless, Steven M. Seitz
A Visual Cloud for Virtual Reality Applications. CIDR (2017)
Jingjing Wang, Magdalena Balazinska
Elastic Memory Management for Cloud Data Analytics. USENIX Annual Technical Conference (2017)
Jingjing Wang, Magdalena Balazinska
Toward elastic memory management for cloud data analytics. BeyondMR@SIGMOD (2016)
Brandon Haynes, Alvin Cheung, Magdalena Balazinska
PipeGen: Data Pipe Generator for Hybrid Analytics. CoRR (2016)
Brandon Haynes, Alvin Cheung, Magdalena Balazinska
PipeGen: Data Pipe Generator for Hybrid Analytics. SoCC (2016)
Jennifer Ortiz, Brendan Lee, Magdalena Balazinska
PerfEnforce Demonstration: Data Analytics with Performance Guarantees. SIGMOD Conference (2016)
Jennifer Ortiz, Brendan Lee, Magdalena Balazinska, Joseph L. Hellerstein
PerfEnforce: A Dynamic Scaling Engine for Analytics with Performance Guarantees. CoRR (2016)
Prasang Upadhyaya, Magdalena Balazinska, Dan Suciu
Price-Optimal Querying with Data APIs. Proc. VLDB Endow. 9 (14) (2016)
Kristi Morton, Hannaneh Hajishirzi, Magdalena Balazinska, Dan Grossman
View-Driven Deduplication with Active Learning. CoRR (2016)
Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom
The Beckman report on database research. Commun. ACM 59 (2) (2016)
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. CoRR (2016)
Paraschos Koutris, Prasang Upadhyaya, Magdalena Balazinska, Bill Howe, Dan Suciu
Query-Based Data Pricing. J. ACM 62 (5) (2015)
Aaron J. Elmore, Jennie Duggan, Mike Stonebraker, Magdalena Balazinska, Ugur Çetintemel, Vijay Gadepally, Jeffrey Heer, Bill Howe, Jeremy Kepner, Tim Kraska, Samuel Madden, David Maier, Timothy G. Mattson, Stavros Papadopoulos, Jeff Parkhurst, Nesime Tatbul, Manasi Vartak, Stan Zdonik
A Demonstration of the BigDAWG Polystore System. Proc. VLDB Endow. 8 (12) (2015)
Jennie Duggan, Aaron J. Elmore, Michael Stonebraker, Magdalena Balazinska, Bill Howe, Jeremy Kepner, Sam Madden, David Maier, Tim Mattson, Stanley B. Zdonik
The BigDAWG Polystore System. SIGMOD Rec. 44 (2) (2015)
Jennifer Ortiz, Victor Teixeira de Almeida, Magdalena Balazinska
Changing the Face of Database Cloud Services with Personalized Service Level Agreements. CIDR (2015)
Emad Soroush, Magdalena Balazinska, K. Simon Krughoff, Andrew J. Connolly
Efficient Iterative Processing in the SciDB Parallel Array Engine. CoRR (2015)
Magdalena Balazinska
Front Matter. Proc. VLDB Endow. 8 (5) (2015)
Christopher Ré, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan
Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? SIGMOD Conference (2015)
Jingjing Wang, Magdalena Balazinska, Daniel Halperin
Asynchronous and Fault-Tolerant Recursive Datalog Evaluation in Shared-Nothing Engines. Proc. VLDB Endow. 8 (12) (2015)
Prasang Upadhyaya, Magdalena Balazinska, Dan Suciu
Automatic Enforcement of Data Use Policies with DataLawyer. SIGMOD Conference (2015)
Magdalena Balazinska
Big Data Research: Will Industry Solve all the Problems? Proc. VLDB Endow. 8 (12) (2015)
Shumo Chu, Magdalena Balazinska, Dan Suciu
From Theory to Practice: Efficient Join Query Evaluation in a Parallel Database System. SIGMOD Conference (2015)
C. David Williams, Magdalena Balazinska, Thomas L. Daniel
Automated Analysis of Muscle X-ray Diffraction Imaging with MCMC. Big-O(Q)/DMAH@VLDB (2015)
Emad Soroush, Magdalena Balazinska, K. Simon Krughoff, Andrew J. Connolly
Efficient iterative processing in the SciDB parallel array engine. SSDBM (2015)
Ryan Maas, Jeremy Hyrkas, Olivia Grace Telford, Magdalena Balazinska, Andrew J. Connolly, Bill Howe
Gaussian Mixture Models Use-Case: In-Memory Analysis with Myria. IMDM@VLDB (2015)
Kristi Morton, Magdalena Balazinska, Dan Grossman, Jock D. Mackinlay
Support the Data Enthusiast: Challenges for Next-Generation Data-Analysis Systems. Proc. VLDB Endow. 7 (6) (2014)
Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom
The Beckman Report on Database Research. SIGMOD Rec. 43 (3) (2014)
Prasang Upadhyaya, Martina Unutzer, Magdalena Balazinska, Dan Suciu, Hakan Hacigümüs
Affordable Analytics on Expensive Data. Data4U@VLDB (2014)
Sarah Loebman, Jennifer Ortiz, Lee Lee Choo, Laurel J. Orr, Lauren Anderson, Daniel Halperin, Magdalena Balazinska, Thomas Quinn, Fabio Governato
Big-Data Management Use-Case: A Cloud Service for Creating and Analyzing Galactic Merger Trees. DanaC@SIGMOD (2014)
Julie Letchner, Magdalena Balazinska, Christopher Ré, Matthai Philipose
Approximation trade-offs in a Markovian stream warehouse: An empirical study. Inf. Syst. 39 (2014)
Daniel Halperin, Victor Teixeira de Almeida, Lee Lee Choo, Shumo Chu, Paraschos Koutris, Dominik Moritz, Jennifer Ortiz, Vaspol Ruamviboonsuk, Jingjing Wang, Andrew Whitaker, Shengliang Xu, Magdalena Balazinska, Bill Howe, Dan Suciu
Demonstration of the Myria big data management service. SIGMOD Conference (2014)
Kristi Morton, Magdalena Balazinska, Dan Grossman, Robert Kosara, Jock D. Mackinlay
Public Data and Visualizations: How are Many Eyes and Tableau Public Used for Collaborative Analytics? SIGMOD Rec. 43 (2) (2014)
Magdalena Balazinska, Bill Howe, Dan Suciu
The database group at the University of Washington. SIGMOD Rec. 43 (1) (2014)
Paraschos Koutris, Prasang Upadhyaya, Magdalena Balazinska, Bill Howe, Dan Suciu
Toward practical query pricing with QueryMarket. SIGMOD Conference (2013)
Kai Ren, YongChul Kwon, Magdalena Balazinska, Bill Howe
Hadoop's Adolescence. Proc. VLDB Endow. 6 (10) (2013)
Prasang Upadhyaya, Nick R. Anderson, Magdalena Balazinska, Bill Howe, Raghav Kaushik, Ravishankar Ramamurthy, Dan Suciu
Stop That Query! The Need for Managing Data Use. CIDR (2013)
YongChul Kwon, Kai Ren, Magdalena Balazinska, Bill Howe
Managing Skew in Hadoop. IEEE Data Eng. Bull. 36 (1) (2013)
Emad Soroush, Magdalena Balazinska
Time travel in a scientific array database. ICDE (2013)
Jacob VanderPlas, Emad Soroush, K. Simon Krughoff, Magdalena Balazinska
Squeezing a Big Orange into Little Boxes: The AscotDB System for Parallel Processing of Data on a Sphere. IEEE Data Eng. Bull. 36 (4) (2013)
Prasang Upadhyaya, Nick R. Anderson, Magdalena Balazinska, Bill Howe, Raghav Kaushik, Ravishankar Ramamurthy, Dan Suciu
The power of data use management in action. SIGMOD Conference (2013)
Jennifer Ortiz, Victor Teixeira de Almeida, Magdalena Balazinska
A vision for personalized service level agreements in the cloud. DanaC@SIGMOD (2013)
Magdalena Balazinska, Bill Howe, Paraschos Koutris, Dan Suciu, Prasang Upadhyaya
A Discussion on Pricing Relational Data. In Search of Elegance in the Theory and Practice of Computation (2013)
Matthew I. Moyers, Emad Soroush, Spencer Wallace, K. Simon Krughoff, Jake VanderPlas, Magdalena Balazinska, Andrew J. Connolly
A Demonstration of Iterative Parallel Array Processing in Support of Telescope Image Analysis. Proc. VLDB Endow. 6 (12) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Magdalena Balazinska