Tim Kraska
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
103
Venues
21
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
103 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CIDR | Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics. | Matthew Russo, Tim Kraska |
| 2025 | CIDR | Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing. | Chunwei Liu, Matthew Russo, Michael J. Cafarella, Lei Cao, Peter Baile Chen, Zui Chen, Michael J. Franklin, Tim Kraska, Samuel Madden, Rana Shahout, Gerardo Vitagliano |
| 2025 | DaMoN | Insert-Optimized Implementation of Streaming Data Sketches. | Pascal Pfeil, Dominik Horn, Orestis Polychroniou, George Erickson, Zhe Heng Eng, Mengchu Cai, Tim Kraska |
| 2025 | KDD | PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism. | Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska |
| 2025 | SIGMOD | Virtualizing Cloud Data Infrastructures with BRAD. | Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Sophie Zhang, Tim Kraska, Samuel Madden |
| 2025 | VLDB | TailorSQL: A NL2SQL System Tailored for Your Query Workload. | Kapil Vaidya, Jialin Ding, Sebastian Kosak, David Kernert, Chuan Lei, Xiao Qin, Abhinav Tripathy, Ramesh Balan, Balakrishnan Narayanaswamy, Tim Kraska |
| 2024 | CIDR | Panda: Performance Debugging for Databases using LLM Agents. | Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska |
| 2024 | CLOUD | Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis. | Yanlei Diao, Dominik Horn, Andreas Kipf, Oleksandr Shchur, Ines Benito, Wenjian Dong, Davide Pagano, Pascal Pfeil, Vikram Nathan, Balakrishnan Narayanaswamy, Tim Kraska |
| 2024 | CLOUD | Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS. | Vikramank Y. Singh, Zhao Song, Balakrishnan (Murali) Narayanaswamy, Kapil Eknath Vaidya, Tim Kraska |
| 2024 | SIGMOD | Automated Multidimensional Data Layouts in Amazon Redshift. | Jialin Ding, Matt Abrams, Sanghita Bandyopadhyay, Luciano Di Palma, Yanzhu Ji, Davide Pagano, Gopal Paliwal, Panos Parchas, Pascal Pfeil, Orestis Polychroniou, Gaurav Saxena, Aamer Shah, Amina Voloder, Sherry Xiao, Davis Zhang, Tim Kraska |
| 2024 | SIGMOD | Intelligent Scaling in Amazon Redshift. | Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska |
| 2024 | SIGMOD | Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses. | Tobias Schmidt, Andreas Kipf, Dominik Horn, Gaurav Saxena, Tim Kraska |
| 2024 | SIGMOD | Stage: Query Execution Time Prediction in Amazon Redshift. | Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska |
| 2023 | ICDE | Unshackling Database Benchmarking from Synthetic Workloads. | Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi |
| 2023 | SIGMOD | Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift. | Gaurav Saxena, Mohammad Rahman, Naresh Chainani, Chunbin Lin, George Caragea, Fahim Chowdhury, Ryan Marcus, Tim Kraska, Ippokratis Pandis, Balakrishnan (Murali) Narayanaswamy |
| 2023 | VLDB | CorBit: Leveraging Correlations for Compressing Bitmap Indexes. | Xi Lyu, Andreas Kipf, Pascal Pfeil, Dominik Horn, Jana Giceva, Tim Kraska |
| 2023 | VLDB | Hyperspecialized Compilation for Serverless Data Analytics. | Leonhard F. Spiegelberg, Tim Kraska, Malte Schwarzkopf |
| 2022 | CIDR | Self-Organizing Data Containers. | Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul |
| 2022 | ICDE | ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. | Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska |
| 2022 | ICDE | ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. | Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska |
| 2022 | SIGMOD | LSI: a learned secondary index structure. | Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, Tim Kraska |
| 2022 | SIGMOD | LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems. | Ibrahim Sabek, Tenzin Samten Ukyab, Tim Kraska |
| 2021 | ICDE | Towards a Benchmark for Learned Systems. | Laurent Bindschaedler, Andreas Kipf, Tim Kraska, Ryan Marcus, Umar Farooq Minhas |
| 2021 | ICLR | Partitioned Learned Bloom Filters. | Kapil Vaidya, Eric Knorr, Michael Mitzenmacher, Tim Kraska |
| 2021 | SIGMOD | LEA: A Learned Encoding Advisor for Column Stores. | Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska |
| 2021 | SIGMOD | Instance-Optimized Data Layouts for Cloud Analytics Workloads. | Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska |
| 2021 | SIGMOD | Bao: Making Learned Query Optimization Practical. | Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska |
| 2021 | SIGMOD | Steering Query Optimizers: A Practical Take on Big Data Workloads. | Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal |
| 2021 | SIGMOD | Tuplex: Data Science in Python at Native Code Speed. | Leonhard F. Spiegelberg, Rahul Yesantharao, Malte Schwarzkopf, Tim Kraska |
| 2021 | VLDB | Living in a Candy Store - from being a PhD Student to Working as a Faculty Member on ML for Systems. | Tim Kraska |
| 2020 | EDBT | Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications. | Gennady L. Andrienko, Natalia V. Andrienko, Steven Mark Drucker, Jean-Daniel Fekete, Danyel Fisher, Stratos Idreos, Tim Kraska, Guoliang Li, Kwan-Liu Ma, Jock D. Mackinlay, Antti Oulasvirta, Tobias Schreck, Heidrun Schumann, Michael Stonebraker, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf |
| 2020 | ICDE | Getting Swole: Generating Access-Aware Code with Predicate Pullups. | Andrew Crotty, Alex Galakatos, Tim Kraska |
| 2020 | ICDE | Cost-Guided Cardinality Estimation: Focus Where it Matters. | Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh |
| 2020 | Mobisys | BeeCluster: drone orchestration via predictive optimization. | Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden |
| 2020 | PLDI | Learned garbage collection. | Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska |
| 2020 | SIGMOD | MIRIS: Fast Object Track Queries in Video. | Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden |
| 2020 | SIGMOD | ALEX: An Updatable Adaptive Learned Index. | Jialin Ding, Umar Farooq Minhas, Jia Yu, Chi Wang, Jaeyoung Do, Yinan Li, Hantian Zhang, Badrish Chandramouli, Johannes Gehrke, Donald Kossmann, David B. Lomet, Tim Kraska |
| 2020 | SIGMOD | IDEBench: A Benchmark for Interactive Data Exploration. | Philipp Eichmann, Emanuel Zgraggen, Carsten Binnig, Tim Kraska |
| 2020 | SIGMOD | DB4ML - An In-Memory Database Kernel with Machine Learning Support. | Matthias Jasny, Tobias Ziegler, Tim Kraska, Uwe Rhm, Carsten Binnig |
| 2020 | SIGMOD | RadixSpline: a single-pass learned index. | Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann |
| 2020 | SIGMOD | The Case for a Learned Sorting Algorithm. | Ani Kristo, Kapil Vaidya, Ugur etintemel, Sanchit Misra, Tim Kraska |
| 2020 | SIGMOD | CDFShop: Exploring and Optimizing Learned Index Structures. | Ryan Marcus, Emily Zhang, Tim Kraska |
| 2020 | SIGMOD | Learning Multi-Dimensional Indexes. | Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska |
| 2020 | SIGMOD | Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks. | Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska |
| 2019 | CHI | VizML: A Machine Learning Approach to Visualization Recommendation. | Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, Csar A. Hidalgo |
| 2019 | CHI | VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. | Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, Csar A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, agatay Demiralp |
| 2019 | CIDR | SageDB: A Learned Database System. | Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan |
| 2019 | DSAA | VizCertify: A Framework for Secure Visual Data Exploration. | Lorenzo De Stefani, Leonhard F. Spiegelberg, Eli Upfal, Tim Kraska |
| 2019 | ICDE | Slice Finder: Automated Data Slicing for Model Validation. | Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang |
| 2019 | ICDE | How I Learned to Stop Worrying and Love Re-optimization. | Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker |
| 2019 | KDD | Sherlock: A Deep Learning Approach to Semantic Data Type Detection. | Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, agatay Demiralp, Csar A. Hidalgo |
| 2019 | SIGMOD | Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks. | Tobias Ziegler, Sumukha Tumkur Vani, Carsten Binnig, Rodrigo Fonseca, Tim Kraska |
| 2019 | SIGMOD | FITing-Tree: A Data-aware Index Structure. | Alex Galakatos, Michael Markovitch, Carsten Binnig, Rodrigo Fonseca, Tim Kraska |
| 2019 | SIGMOD | From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems. | Stratos Idreos, Tim Kraska |
| 2019 | SIGMOD | Democratizing Data Science through Interactive Curation of ML Pipelines. | Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Ferdinand Kossmann, Philipp Eichmann, Yeounoh Chung, Carsten Binnig, Eli Upfal, Tim Kraska |
| 2019 | VLDB | SchengenDB: A Data Protection Database Proposal. | Tim Kraska, Michael Stonebraker, Michael L. Brodie, Sacha Servan-Schreiber, Daniel J. Weitzner |
| 2018 | CHI | Investigating the Effect of the Multiple Comparisons Problem in Visual Analysis. | Emanuel Zgraggen, Zheguang Zhao, Robert C. Zeleznik, Tim Kraska |
| 2018 | PPoPP | Superneurons: dynamic GPU memory management for training deep neural networks. | Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska |
| 2018 | SIGMOD | Towards Interactive Curation & Automatic Tuning of ML Pipelines. | Carsten Binnig, Benedetto Buratti, Yeounoh Chung, Cyrus Cousins, Tim Kraska, Zeyuan Shang, Eli Upfal, Robert C. Zeleznik, Emanuel Zgraggen |
| 2018 | SIGMOD | The Case for Learned Index Structures. | Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis |
| 2018 | VLDB | FastDAWG: Improving Data Migration in the BigDAWG Polystore System. | Xiangyao Yu, Vijay Gadepally, Stan Zdonik, Tim Kraska, Michael Stonebraker |
| 2017 | BTW | Spotlytics: How to Use Cloud Market Places for Analytics? | Tim Kraska, Elkhan Dadashov, Carsten Binnig |
| 2017 | BTW | IncMap: A Journey towards Ontology-based Data Integration. | Christoph Pinkel, Carsten Binnig, Ernesto Jimnez-Ruiz, Evgeny Kharlamov, Andriy Nikolov, Andreas Schwarte, Christian Heupel, Tim Kraska |
| 2017 | CIDR | Toward Sustainable Insights, or Why Polygamy is Bad for You. | Carsten Binnig, Lorenzo De Stefani, Tim Kraska, Eli Upfal, Emanuel Zgraggen, Zheguang Zhao |
| 2017 | ICDE | Data Science Education: We're Missing the Boat, Again. | Bill Howe, Michael J. Franklin, Laura M. Haas, Tim Kraska, Jeffrey D. Ullman |
| 2017 | SIGMOD | Revisiting Reuse in Main Memory Database Systems. | Kayhan Dursun, Carsten Binnig, Ugur etintemel, Tim Kraska |
| 2017 | SIGMOD | What you see is not what you get!: Detecting Simpson's Paradoxes during Data Exploration. | Yue Guo, Carsten Binnig, Tim Kraska |
| 2017 | SIGMOD | Approximate Query Processing for Interactive Data Science. | Tim Kraska |
| 2017 | SIGMOD | Controlling False Discoveries During Interactive Data Exploration. | Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen, Carsten Binnig, Eli Upfal, Tim Kraska |
| 2017 | SIGMOD | Safe Visual Data Exploration. | Zheguang Zhao, Emanuel Zgraggen, Lorenzo De Stefani, Carsten Binnig, Eli Upfal, Tim Kraska |
| 2016 | ICDE | Dark Data: Are we solving the right problems? | Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher R |
| 2016 | SIGMOD | Estimating the Impact of Unknown Unknowns on Aggregate Query Results. | Yeounoh Chung, Michael Lind Mortensen, Carsten Binnig, Tim Kraska |
| 2016 | SIGMOD | The case for interactive data exploration accelerators (IDEAs). | Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska |
| 2016 | SIGMOD | VisTrees: fast indexes for interactive data exploration. | Muhammad El-Hindi, Zheguang Zhao, Carsten Binnig, Tim Kraska |
| 2016 | SIGMOD | PrivateClean: Data Cleaning and Differential Privacy. | Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska |
| 2016 | SIGMOD | Making the Case for Query-by-Voice with EchoQuery. | Gabriel Lyons, Vinh Tran, Carsten Binnig, Ugur etintemel, Tim Kraska |
| 2015 | CIDR | Tupleware: "Big" Data, Big Analytics, Small Clusters. | Andrew Crotty, Alex Galakatos, Kayhan Dursun, Tim Kraska, Ugur etintemel, Stanley B. Zdonik |
| 2015 | CLOUD | Automating model search for large scale machine learning. | Evan Randall Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska |
| 2015 | DOLAP | SpotADAPT: Spot-Aware (re-)Deployment of Analytical Processing Tasks on Amazon EC2. | Dalia Kaulakiene, Christian Thomsen, Torben Bach Pedersen, Ugur etintemel, Tim Kraska |
| 2015 | SIGMOD | Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? | Christopher R, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan |
| 2015 | SIGMOD | Cost-based Fault-tolerance for Parallel Data Processing. | Abdallah Salama, Carsten Binnig, Tim Kraska, Erfan Zamanian |
| 2014 | SIGMOD | Should we all be teaching "intro to data science" instead of "intro to databases"? | Bill Howe, Michael J. Franklin, Juliana Freire, James Frew, Tim Kraska, Raghu Ramakrishnan |
| 2014 | SIGMOD | PLANET: making progress with commit processing in unpredictable environments. | Gene Pang, Tim Kraska, Michael J. Franklin, Alan D. Fekete |
| 2014 | SIGMOD | A sample-and-clean framework for fast and accurate query processing on dirty data. | Jiannan Wang, Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo |
| 2013 | CIDR | CrowdQ: Crowdsourced Query Understanding. | Gianluca Demartini, Beth Trushkowsky, Tim Kraska, Michael J. Franklin |
| 2013 | CIDR | MLbase: A Distributed Machine-learning System. | Tim Kraska, Ameet Talwalkar, John C. Duchi, Rean Griffith, Michael J. Franklin, Michael I. Jordan |
| 2013 | EuroSys | MDCC: multi-data center consistency. | Tim Kraska, Gene Pang, Michael J. Franklin, Samuel Madden, Alan D. Fekete |
| 2013 | HCOMP | CASTLE: Crowd-Assisted System for Text Labeling and Extraction. | Sean Goldberg, Daisy Zhe Wang, Tim Kraska |
| 2013 | HCOMP | A Framework for Adaptive Crowd Query Processing. | Beth Trushkowsky, Tim Kraska, Michael J. Franklin |
| 2013 | ICDE | Crowdsourced enumeration queries. | Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar |
| 2013 | ICDM | MLI: An API for Distributed Machine Learning. | Evan Randall Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska |
| 2013 | SIGMOD | Generalized scale independence through incremental precomputation. | Michael Armbrust, Eric Liang, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson |
| 2013 | SIGMOD | RTP: robust tenant placement for elastic in-memory database clusters. | Jan Schaffner, Tim Januschowski, Megan Kercher, Tim Kraska, Hasso Plattner, Michael J. Franklin, Dean Jacobs |
| 2013 | SIGMOD | Leveraging transitive relations for crowdsourced joins. | Jiannan Wang, Guoliang Li, Tim Kraska, Michael J. Franklin, Jianhua Feng |
| 2012 | EDBT | Stormy: an elastic and highly available streaming service in the cloud. | Simon Loesing, Martin Hentschel, Tim Kraska, Donald Kossmann |
| 2011 | SIGMOD | CrowdDB: answering queries with crowdsourcing. | Michael J. Franklin, Donald Kossmann, Tim Kraska, Sukriti Ramesh, Reynold Xin |
| 2010 | SIGMOD | An evaluation of alternative architectures for transaction processing in the cloud. | Donald Kossmann, Tim Kraska, Simon Loesing |
| 2009 | WWW | XQuery in the browser. | Ghislain Fourny, Markus Pilman, Daniela Florescu, Donald Kossmann, Tim Kraska, Darin McBeath |
| 2009 | SIGMOD | How is the weather tomorrow?: towards a benchmark for the cloud. | Carsten Binnig, Donald Kossmann, Tim Kraska, Simon Loesing |
| 2008 | SIGMOD | Building a database on S3. | Matthias Brantner, Daniela Florescu, David A. Graf, Donald Kossmann, Tim Kraska |
| 2008 | SIGMOD | XQuery in the browser. | Ghislain Fourny, Donald Kossmann, Tim Kraska, Markus Pilman, Daniela Florescu |
| 2007 | VLDB | Extending XQuery with Window Functions. | Irina Botan, Peter M. Fischer, Daniela Florescu, Donald Kossmann, Tim Kraska, Rokas Tamosevicius |
| 2006 | COMAD | Genea: Schema-Aware Mapping of Ontologies into Relational Databases. | Tim Kraska, Uwe Rhm |