Tim Kraska

269 papers A* 18A 11B 3C 2Misc 3Journal 153Unranked 72
YearRankTypeTitle / Venue / Authors
2026 J jnl
Abacus: A Cost-Based Optimizer for Semantic Operator Systems.
Proc. VLDB Endow.
Matthew Russo, Chunwei Liu, Sivaprasad Sudhir, Gerardo Vitagliano, Michael J. Cafarella, Tim Kraska, Samuel Madden
2026 J jnl
AgentSM: Semantic Memory for Agentic Text-to-SQL.
CoRR
Asim Biswal, Chuan Lei, Xiao Qin, Aodong Li, Balakrishnan Narayanaswamy, Tim Kraska
2026 A conf
Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics.
CIDR
Matthew Russo, Tim Kraska
2025 J jnl
A Write-Optimized Distributed B+Tree Index on Disaggregated Memory.
Commun. ACM
Tim Kraska
2025 J jnl
Abacus: A Cost-Based Optimizer for Semantic Operator Systems.
CoRR
Matthew Russo, Sivaprasad Sudhir, Gerardo Vitagliano, Chunwei Liu, Tim Kraska, Samuel Madden, Michael J. Cafarella
2025 J jnl
Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics.
CoRR
Matthew Russo, Tim Kraska
2025 J jnl
Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries.
Proc. VLDB Endow.
Ziniu Wu, Markos Markakis, Chunwei Liu, Peter Baile Chen, Balakrishnan Narayanaswamy, Tim Kraska, Samuel Madden
2025 J jnl
Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries - Extended.
CoRR
Ziniu Wu, Markos Markakis, Chunwei Liu, Peter Baile Chen, Balakrishnan Narayanaswamy, Tim Kraska, Samuel Madden
2025 C conf
Insert-Optimized Implementation of Streaming Data Sketches.
DaMoN
Pascal Pfeil, Dominik Horn, Orestis Polychroniou, George Erickson, Zhe Heng Eng, Mengchu Cai, Tim Kraska
2025 J jnl
KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes.
CoRR
Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Sivaprasad Sudhir, Om Chabra, Anna Zeng, Anton A. Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J. Cafarella, Lei Cao, Samuel Madden, Tim Kraska
2025 J jnl
ODIN: A NL2SQL Recommender to Handle Schema Ambiguity.
CoRR
Kapil Vaidya, Abishek Sankararaman, Jialin Ding, Chuan Lei, Xiao Qin, Balakrishnan Narayanaswamy, Tim Kraska
2025 J jnl
PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking.
CoRR
Yan Zhou, Chunwei Liu, Bhuvan Urgaonkar, Zhengle Wang, Magnus Mueller, Chao Zhang, Songyue Zhang, Pascal Pfeil, Dominik Horn, Zhengchun Liu, Davide Pagano, Tim Kraska, Samuel Madden, Ju Fan
2025 J jnl
PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking.
Proc. VLDB Endow.
Yan Zhou, Chunwei Liu, Bhuvan Urgaonkar, Zhengle Wang, Magnus Mueller, Chao Zhang, Songyue Zhang, Pascal Pfeil, Dominik Horn, Zhengchun Liu, Davide Pagano, Tim Kraska, Samuel Madden, Ju Fan
2025 A conf
Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing.
CIDR
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 J jnl
Parachute: Single-Pass Bi-Directional Information Passing.
CoRR
Mihail Stoian, Andreas Zimmerer, Skander Krid, Amadou Latyr Ngom, Jialin Ding, Tim Kraska, Andreas Kipf
2025 J jnl
Parachute: Single-Pass Bi-Directional Information Passing.
Proc. VLDB Endow.
Mihail Stoian, Andreas Zimmerer, Skander Krid, Amadou Ngom, Jialin Ding, Tim Kraska, Andreas Kipf
2025 — conf
PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism.
KDD (1)
Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska
2025 J jnl
Recursive Language Models.
CoRR
Alex L. Zhang, Tim Kraska, Omar Khattab
2025 J jnl
SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL.
CoRR
Yue Gong, Chuan Lei, Xiao Qin, Kapil Vaidya, Balakrishnan Narayanaswamy, Tim Kraska
2025 J jnl
TailorSQL: An NL2SQL System Tailored to Your Query Workload.
CoRR
Kapil Vaidya, Jialin Ding, Sebastian Kosak, David Kernert, Chuan Lei, Xiao Qin, Abhinav Tripathy, Ramesh Balan, Balakrishnan Narayanaswamy, Tim Kraska
2025 J jnl
The Cambridge Report on Database Research.
CoRR
Anastasia Ailamaki, Samuel Madden, Daniel Abadi, Gustavo Alonso, Sihem Amer-Yahia, Magdalena Balazinska, Philip A. Bernstein, Peter Boncz, Michael J. Cafarella, Surajit Chaudhuri, Susan B. Davidson, David J. DeWitt, Yanlei Diao, Xin Luna Dong, Michael J. Franklin, Juliana Freire, Johannes Gehrke, Alon Y. Halevy, Joseph M. Hellerstein, Mark D. Hill, Stratos Idreos, Yannis E. Ioannidis, Christoph Koch, Donald Kossmann, Tim Kraska, Arun Kumar, Guoliang Li, Volker Markl, Renée J. Miller, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Aditya G. Parameswaran, Ippokratis Pandis, Jignesh M. Patel, Andrew Pavlo, Danica Porobic, Viktor Sanca, Michael Stonebraker, Julia Stoyanovich, Dan Suciu, Wang-Chiew Tan, Shivaram Venkataraman, Matei Zaharia, Stanley B. Zdonik
2025 — conf
Utilizing Past User Feedback for More Accurate Text-to-SQL.
HILDA@SIGMOD
Matthias Urban, Jialin Ding, David Kernert, Kapil Vaidya, Tim Kraska
2025 — conf
Virtualizing Cloud Data Infrastructures with BRAD.
SIGMOD Conference Companion
Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Sophie Zhang, Tim Kraska, Samuel Madden
2024 J jnl
A Declarative System for Optimizing AI Workloads.
CoRR
Chunwei Liu, Matthew Russo, Michael J. Cafarella, Lei Cao, Peter Baile Chen, Zui Chen, Michael J. Franklin, Tim Kraska, Samuel Madden, Gerardo Vitagliano
2024 — conf
Automated Multidimensional Data Layouts in Amazon Redshift.
SIGMOD Conference Companion
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 J jnl
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD - Extended Version.
CoRR
Geoffrey X. Yu, Ziniu Wu, Ferdi Kossmann, Tianyu Li, Markos Markakis, Amadou Ngom, Samuel Madden, Tim Kraska
2024 J jnl
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD.
Proc. VLDB Endow.
Geoffrey X. Yu, Ziniu Wu, Ferdinand Kossmann, Tianyu Li, Markos Markakis, Amadou Latyr Ngom, Samuel Madden, Tim Kraska
2024 J jnl
Databases Unbound: Querying All of the World's Bytes with AI.
Proc. VLDB Endow.
Samuel Madden, Michael J. Cafarella, Michael J. Franklin, Tim Kraska
2024 — conf
Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis.
SoCC
Yanlei Diao, Dominik Horn, Andreas Kipf, Oleksandr Shchur, Ines Benito, Wenjian Dong, Davide Pagano, Pascal Pfeil, Vikram Nathan, Balakrishnan Narayanaswamy, Tim Kraska
2024 — conf
Intelligent Scaling in Amazon Redshift.
SIGMOD Conference Companion
Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska
2024 — conf
Mallet: SQL Dialect Translation with LLM Rule Generation.
aiDM@SIGMOD
Amadou Latyr Ngom, Tim Kraska
2024 A conf
Panda: Performance Debugging for Databases using LLM Agents.
CIDR
Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska
2024 J jnl
PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design.
CoRR
Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska
2024 — conf
Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses.
SIGMOD Conference Companion
Tobias Schmidt, Andreas Kipf, Dominik Horn, Gaurav Saxena, Tim Kraska
2024 J jnl
Resource Management in Aurora Serverless.
Proc. VLDB Endow.
Bradley Barnhart, Marc Brooker, Daniil Chinenkov, Tony Hooper, Jihoun Im, Prakash Chandra Jha, Tim Kraska, Ashok Kurakula, Alexey Kuznetsov, Grant Mcalister, Arjun Muthukrishnan, Aravinthan Narayanan, Douglas Terry, Bhuvan Urgaonkar, Jiaming Yan
2024 — conf
Stage: Query Execution Time Prediction in Amazon Redshift.
SIGMOD Conference Companion
Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
2024 J jnl
Stage: Query Execution Time Prediction in Amazon Redshift.
CoRR
Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
2024 — conf
Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS.
SoCC
Vikramank Y. Singh, Zhao Song, Balakrishnan (Murali) Narayanaswamy, Kapil Eknath Vaidya, Tim Kraska
2024 J jnl
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet.
Proc. VLDB Endow.
Alexander van Renen, Dominik Horn, Pascal Pfeil, Kapil Vaidya, Wenjian Dong, Murali Narayanaswamy, Zhengchun Liu, Gaurav Saxena, Andreas Kipf, Tim Kraska
2023 — conf
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift.
SIGMOD Conference Companion
Gaurav Saxena, Mohammad Rahman, Naresh Chainani, Chunbin Lin, George Caragea, Fahim Chowdhury, Ryan Marcus, Tim Kraska, Ippokratis Pandis, Balakrishnan (Murali) Narayanaswamy
2023 J jnl
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes.
Proc. VLDB Endow.
Tim Kraska, Tianyu Li, Samuel Madden, Markos Markakis, Amadou Ngom, Ziniu Wu, Geoffrey X. Yu
2023 — conf
CorBit: Leveraging Correlations for Compressing Bitmap Indexes.
VLDB Workshops
Xi Lyu, Andreas Kipf, Pascal Pfeil, Dominik Horn, Jana Giceva, Tim Kraska
2023 J jnl
Extract-Transform-Load for Video Streams.
CoRR
Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Samuel Madden
2023 J jnl
Extract-Transform-Load for Video Streams.
Proc. VLDB Endow.
Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Sam Madden
2023 J jnl
FactorJoin: A New Cardinality Estimation Framework for Join Queries.
Proc. ACM Manag. Data
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden
2023 — conf
Hyperspecialized Compilation for Serverless Data Analytics.
VLDB Workshops
Leonhard F. Spiegelberg, Tim Kraska, Malte Schwarzkopf
2023 J jnl
Parallel External Sorting of ASCII Records Using Learned Models.
CoRR
Ani Kristo, Tim Kraska
2023 J jnl
Robust Query Driven Cardinality Estimation under Changing Workloads.
Proc. VLDB Endow.
Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh
2023 J jnl
SEED: Simple, Efficient, and Effective Data Management via Large Language Models.
CoRR
Zui Chen, Lei Cao, Sam Madden, Ju Fan, Nan Tang, Zihui Gu, Zeyuan Shang, Chunwei Liu, Michael J. Cafarella, Tim Kraska
2023 J jnl
Technical Perspective for Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory.
SIGMOD Rec.
Tim Kraska
2023 J jnl
The Case for Learned In-Memory Joins.
Proc. VLDB Endow.
Ibrahim Sabek, Tim Kraska
2023 A* conf
Unshackling Database Benchmarking from Synthetic Workloads.
ICDE
Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi
2022 J jnl
Bao: Making Learned Query Optimization Practical.
SIGMOD Rec.
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
2022 J jnl
Can Learned Models Replace Hash Functions?
Proc. VLDB Endow.
Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, Tim Kraska
2022 A* conf
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling.
ICDE
Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska
2022 A* conf
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling.
ICDE
Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska
2022 J jnl
FactorJoin: A New Cardinality Estimation Framework for Join Queries.
CoRR
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden
2022 — ed.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2022 and DMAH 2022, Virtual Event, September 9, 2022, Revised Selected Papers
Poly/DMAH@VLDB
El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Jun Kong, Gang Luo, Dejun Teng, Fusheng Wang
2022 J jnl
LSI: A Learned Secondary Index Structure.
CoRR
Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, Tim Kraska
2022 — conf
LSI: a learned secondary index structure.
aiDM@SIGMOD
Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, Tim Kraska
2022 — conf
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems.
SIGMOD Conference
Ibrahim Sabek, Tenzin Samten Ukyab, Tim Kraska
2022 J jnl
SNARF: A Learning-Enhanced Range Filter.
Proc. VLDB Endow.
Kapil Vaidya, Tim Kraska, Subarna Chatterjee, Eric R. Knorr, Michael Mitzenmacher, Stratos Idreos
2022 J jnl
SageDB: An Instance-Optimized Data Analytics System.
Proc. VLDB Endow.
Jialin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska
2022 A conf
Self-Organizing Data Containers.
CIDR
Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David E. Cohen, Timothy G. Mattson, Nesime Tatbul
2022 J jnl
The Seattle report on database research.
Commun. ACM
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter 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
2022 J jnl
TreeLine: An Update-In-Place Key-Value Store for Modern Storage.
Proc. VLDB Endow.
Geoffrey X. Yu, Markos Markakis, Andreas Kipf, Per-Åke Larson, Umar Farooq Minhas, Tim Kraska
2021 — conf
Bao: Making Learned Query Optimization Practical.
SIGMOD Conference
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
2021 J jnl
Bounding the Last Mile: Efficient Learned String Indexing.
CoRR
Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska
2021 J jnl
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks.
SIGMOD Rec.
Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska
2021 J jnl
DBOS: A DBMS-oriented Operating System.
Proc. VLDB Endow.
Athinagoras Skiadopoulos, Qian Li, Peter Kraft, Kostis Kaffes, Daniel Hong, Shana Mathew, David Bestor, Michael J. Cafarella, Vijay Gadepally, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Lalith Suresh, Matei Zaharia
2021 J jnl
Davos: A System for Interactive Data-Driven Decision Making.
Proc. VLDB Endow.
Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Philipp Eichmann, Navid Karimeddiny, Charlie Meyer, Wesley Runnels, Tim Kraska
2021 J jnl
Defeating duplicates: A re-design of the LearnedSort algorithm.
CoRR
Ani Kristo, Kapil Vaidya, Tim Kraska
2021 J jnl
Flow-Loss: Learning Cardinality Estimates That Matter.
CoRR
Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
2021 J jnl
Flow-Loss: Learning Cardinality Estimates That Matter.
Proc. VLDB Endow.
Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
2021 — ed.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2020 and DMAH 2020, Virtual Event, August 31 and September 4, 2020, Revised Selected Papers
Poly/DMAH@VLDB
Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya
2021 — ed.
Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2021 and DMAH 2021, Virtual Event, August 20, 2021, Revised Selected Papers
Poly/DMAH@VLDB
El Kindi Rezig, Vijay Gadepally, Timothy G. Mattson, Michael Stonebraker, Tim Kraska, Fusheng Wang, Gang Luo, Jun Kong, Alevtina Dubovitskaya
2021 — conf
Instance-Optimized Data Layouts for Cloud Analytics Workloads.
SIGMOD Conference
Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska
2021 — conf
LEA: A Learned Encoding Advisor for Column Stores.
aiDM@SIGMOD
Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska
2021 J jnl
LEA: A Learned Encoding Advisor for Column Stores.
CoRR
Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska
2021 — conf
Living in a Candy Store - from being a PhD Student to Working as a Faculty Member on ML for Systems.
PhD@VLDB
Tim Kraska
2021 J jnl
ML-In-Databases: Assessment and Prognosis.
IEEE Data Eng. Bull.
Tim Kraska, Umar Farooq Minhas, Thomas Neumann, Olga Papaemmanouil, Jignesh M. Patel, Christopher Ré, Michael Stonebraker
2021 J jnl
PLEX: Towards Practical Learned Indexing.
CoRR
Mihail Stoian, Andreas Kipf, Ryan Marcus, Tim Kraska
2021 A* conf
Partitioned Learned Bloom Filters.
ICLR
Kapil Vaidya, Eric Knorr, Michael Mitzenmacher, Tim Kraska
2021 J jnl
SkyQuery: An Aerial Drone Video Sensing Platform.
CoRR
Favyen Bastani, Songtao He, Ziwen Jiang, Osbert Bastani, Michael J. Cafarella, Tim Kraska, Sam Madden
2021 — conf
Steering Query Optimizers: A Practical Take on Big Data Workloads.
SIGMOD Conference
Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal
2021 J jnl
TagMe: GPS-Assisted Automatic Object Annotation in Videos.
CoRR
Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
2021 J jnl
The Case for Learned In-Memory Joins.
CoRR
Ibrahim Sabek, Tim Kraska
2021 — conf
Towards a Benchmark for Learned Systems.
ICDE Workshops
Laurent Bindschaedler, Andreas Kipf, Tim Kraska, Ryan Marcus, Umar Farooq Minhas
2021 J jnl
Towards instance-optimized data systems.
Proc. VLDB Endow.
Tim Kraska
2021 — conf
Tuplex: Data Science in Python at Native Code Speed.
SIGMOD Conference
Leonhard F. Spiegelberg, Rahul Yesantharao, Malte Schwarzkopf, Tim Kraska
2021 J jnl
When Are Learned Models Better Than Hash Functions?
CoRR
Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska
2020 — conf
A Polystore Based Database Operating System (DBOS).
Poly/DMAH@VLDB
Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia
2020 — conf
ALEX: An Updatable Adaptive Learned Index.
SIGMOD Conference
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 J jnl
ARDA: Automatic Relational Data Augmentation for Machine Learning.
CoRR
Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger
2020 J jnl
ARDA: Automatic Relational Data Augmentation for Machine Learning.
Proc. VLDB Endow.
Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger
2020 J jnl
Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach.
IEEE Trans. Knowl. Data Eng.
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang
2020 J jnl
Bao: Learning to Steer Query Optimizers.
CoRR
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
2020 A conf
BeeCluster: drone orchestration via predictive optimization.
MobiSys
Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
2020 J jnl
Benchmarking Learned Indexes.
CoRR
Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska
2020 J jnl
Benchmarking Learned Indexes.
Proc. VLDB Endow.
Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska
2020 — conf
Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications.
EDBT/ICDT Workshops
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 — conf
CDFShop: Exploring and Optimizing Learned Index Structures.
SIGMOD Conference
Ryan Marcus, Emily Zhang, Tim Kraska
2020 — conf
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks.
SIGMOD Conference
Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska
2020 J jnl
Context-Aware Parse Trees.
CoRR
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Paul Petersen, Jesmin Jahan Tithi, Tim Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich
2020 J jnl
Cortex: Harnessing Correlations to Boost Query Performance.
CoRR
Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh
2020 — conf
Cost-Guided Cardinality Estimation: Focus Where it Matters.
ICDE Workshops
Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
2020 — conf
DB4ML - An In-Memory Database Kernel with Machine Learning Support.
SIGMOD Conference
Matthias Jasny, Tobias Ziegler, Tim Kraska, Uwe Röhm, Carsten Binnig
2020 J jnl
DBOS: A Proposal for a Data-Centric Operating System.
CoRR
Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia
2020 J jnl
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling.
CoRR
Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska
2020 — conf
Fast Mapping onto Census Blocks.
HPEC
Jeremy Kepner, Andreas Kipf, Darren Engwirda, Navin Vembar, Michael Jones, Lauren Milechin, Vijay Gadepally, Chris Hill, Tim Kraska, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Andrew C. Kirby, Anna Klein, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Sid Samsi, Charles Yee, Peter Michaleas
2020 J jnl
Fast Mapping onto Census Blocks.
CoRR
Jeremy Kepner, Darren Engwirda, Vijay Gadepally, Chris Hill, Tim Kraska, Michael Jones, Andreas Kipf, Lauren Milechin, Navin Vembar
2020 A* conf
Getting Swole: Generating Access-Aware Code with Predicate Pullups.
ICDE
Andrew Crotty, Alex Galakatos, Tim Kraska
2020 — conf
IDEBench: A Benchmark for Interactive Data Exploration.
SIGMOD Conference
Philipp Eichmann, Emanuel Zgraggen, Carsten Binnig, Tim Kraska
2020 J jnl
Learned Garbage Collection.
CoRR
Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska
2020 J jnl
Learned Indexes for a Google-scale Disk-based Database.
CoRR
Hussam Abu-Libdeh, Deniz Altinbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou Li, Andy Ly, Christopher Olston
2020 — conf
Learned garbage collection.
MAPL@PLDI
Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska
2020 — conf
Learning Multi-Dimensional Indexes.
SIGMOD Conference
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska
2020 — conf
MIRIS: Fast Object Track Queries in Video.
SIGMOD Conference
Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
2020 J jnl
MISIM: An End-to-End Neural Code Similarity System.
CoRR
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Nesime Tatbul, Jesmin Jahan Tithi, Paul Petersen, Timothy G. Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich
2020 J jnl
Partitioned Learned Bloom Filter.
CoRR
Kapil Vaidya, Eric Knorr, Tim Kraska, Michael Mitzenmacher
2020 J jnl
Poly'19 Workshop Summary: GDPR.
SIGMOD Rec.
Michael Stonebraker, Timothy G. Mattson, Tim Kraska, Vijay Gadepally
2020 J jnl
RadixSpline: A Single-Pass Learned Index.
CoRR
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann
2020 — conf
RadixSpline: a single-pass learned index.
aiDM@SIGMOD
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann
2020 — conf
The Case for a Learned Sorting Algorithm.
SIGMOD Conference
Ani Kristo, Kapil Vaidya, Ugur Çetintemel, Sanchit Misra, Tim Kraska
2020 J jnl
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads.
CoRR
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska
2020 J jnl
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads.
Proc. VLDB Endow.
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska
2019 J jnl
Choosing A Cloud DBMS: Architectures and Tradeoffs.
Proc. VLDB Endow.
Junjay Tan, Thanaa M. Ghanem, Matthew Perron, Xiangyao Yu, Michael Stonebraker, David J. DeWitt, Marco Serafini, Ashraf Aboulnaga, Tim Kraska
2019 J jnl
Custodes: Auditable Hypothesis Testing.
CoRR
Sacha Servan-Schreiber, Olga Ohrimenko, Tim Kraska, Emanuel Zgraggen
2019 — conf
Democratizing Data Science through Interactive Curation of ML Pipelines.
SIGMOD Conference
Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Ferdinand Kossmann, Philipp Eichmann, Yeounoh Chung, Carsten Binnig, Eli Upfal, Tim Kraska
2019 — conf
Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks.
SIGMOD Conference
Tobias Ziegler, Sumukha Tumkur Vani, Carsten Binnig, Rodrigo Fonseca, Tim Kraska
2019 — conf
FITing-Tree: A Data-aware Index Structure.
SIGMOD Conference
Alex Galakatos, Michael Markovitch, Carsten Binnig, Rodrigo Fonseca, Tim Kraska
2019 — conf
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems.
SIGMOD Conference
Stratos Idreos, Tim Kraska
2019 A* conf
How I Learned to Stop Worrying and Love Re-optimization.
ICDE
Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker
2019 J jnl
How I Learned to Stop Worrying and Love Re-optimization.
CoRR
Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker
2019 J jnl
LISA: Towards Learned DNA Sequence Search.
CoRR
Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska
2019 J jnl
Learning Multi-dimensional Indexes.
CoRR
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska
2019 J jnl
Neo: A Learned Query Optimizer.
CoRR
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
2019 J jnl
Neo: A Learned Query Optimizer.
Proc. VLDB Endow.
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
2019 A* conf
Park: An Open Platform for Learning-Augmented Computer Systems.
NeurIPS
Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh
2019 — ed.
Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, Amsterdam, The Netherlands, June 30 - July 5, 2019.
SIGMOD Conference
Peter Boncz, Stefan Manegold, Anastasia Ailamaki, Amol Deshpande, Tim Kraska
2019 J jnl
Rethinking Database High Availability with RDMA Networks.
Proc. VLDB Endow.
Erfan Zamanian, Xiangyao Yu, Michael Stonebraker, Tim Kraska
2019 J jnl
SOSD: A Benchmark for Learned Indexes.
CoRR
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann
2019 A conf
SageDB: A Learned Database System.
CIDR
Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan
2019 — conf
SchengenDB: A Data Protection Database Proposal.
Poly/DMAH@VLDB
Tim Kraska, Michael Stonebraker, Michael L. Brodie, Sacha Servan-Schreiber, Daniel J. Weitzner
2019 A* conf
Sherlock: A Deep Learning Approach to Semantic Data Type Detection.
KDD
Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo
2019 J jnl
Sherlock: A Deep Learning Approach to Semantic Data Type Detection.
CoRR
Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo
2019 A* conf
Slice Finder: Automated Data Slicing for Model Validation.
ICDE
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang
2019 J jnl
SysML: The New Frontier of Machine Learning Systems.
CoRR
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
2019 J jnl
The SIGMOD 2019 Research Track Reviewing System.
SIGMOD Rec.
Anastasia Ailamaki, Periklis Chrysogelos, Amol Deshpande, Tim Kraska
2019 J jnl
The Seattle Report on Database Research.
SIGMOD Rec.
Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter 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
2019 J jnl
Tuplex: Robust, Efficient Analytics When Python Rules.
Proc. VLDB Endow.
Leonhard F. Spiegelberg, Tim Kraska
2019 B conf
VizCertify: A Framework for Secure Visual Data Exploration.
DSAA
Lorenzo De Stefani, Leonhard F. Spiegelberg, Eli Upfal, Tim Kraska
2019 A* conf
VizML: A Machine Learning Approach to Visualization Recommendation.
CHI
Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo
2019 A* conf
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.
CHI
Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Madelon Hulsebos, Michiel A. Bakker, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp
2019 J jnl
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository.
CoRR
Kevin Zeng Hu, Snehalkumar (Neil) S. Gaikwad, Michiel A. Bakker, Madelon Hulsebos, Emanuel Zgraggen, César A. Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çagatay Demiralp
2018 J jnl
A-Tree: A Bounded Approximate Index Structure.
CoRR
Alex Galakatos, Michael Markovitch, Carsten Binnig, Rodrigo Fonseca, Tim Kraska
2018 J jnl
Chiller: Contention-centric Transaction Execution and Data Partitioning for Fast Networks.
CoRR
Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska
2018 — ch.
Distributed Machine Learning.
Encyclopedia of Database Systems (2nd ed.)
Alex Galakatos, Andrew Crotty, Tim Kraska
2018 J jnl
Estimating the Impact of Unknown Unknowns on Aggregate Query Results.
ACM Trans. Database Syst.
Yeounoh Chung, Michael Lind Mortensen, Carsten Binnig, Tim Kraska
2018 — conf
FastDAWG: Improving Data Migration in the BigDAWG Polystore System.
Poly/DMAH@VLDB
Xiangyao Yu, Vijay Gadepally, Stan Zdonik, Tim Kraska, Michael Stonebraker
2018 J jnl
IDEBench: A Benchmark for Interactive Data Exploration.
CoRR
Philipp Eichmann, Carsten Binnig, Tim Kraska, Emanuel Zgraggen
2018 A* conf
Investigating the Effect of the Multiple Comparisons Problem in Visual Analysis.
CHI
Emanuel Zgraggen, Zheguang Zhao, Robert C. Zeleznik, Tim Kraska
2018 J jnl
Northstar: An Interactive Data Science System.
Proc. VLDB Endow.
Tim Kraska
2018 J jnl
Slice Finder: Automated Data Slicing for Model Validation.
CoRR
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Steven Euijong Whang
2018 J jnl
Smallify: Learning Network Size while Training.
CoRR
Guillaume Leclerc, Manasi Vartak, Raul Castro Fernandez, Tim Kraska, Samuel Madden
2018 J jnl
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks.
CoRR
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
2018 B conf
Superneurons: dynamic GPU memory management for training deep neural networks.
PPoPP
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska
2018 — conf
The Case for Learned Index Structures.
SIGMOD Conference
Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis
2018 — conf
Towards Interactive Curation & Automatic Tuning of ML Pipelines.
DEEM@SIGMOD
Carsten Binnig, Benedetto Buratti, Yeounoh Chung, Cyrus Cousins, Tim Kraska, Zeyuan Shang, Eli Upfal, Robert C. Zeleznik, Emanuel Zgraggen
2018 J jnl
Towards Quantifying Uncertainty in Data Analysis & Exploration.
IEEE Data Eng. Bull.
Yeounoh Chung, Sacha Servan-Schreiber, Emanuel Zgraggen, Tim Kraska
2018 J jnl
Unknown Examples & Machine Learning Model Generalization.
CoRR
Yeounoh Chung, Peter J. Haas, Eli Upfal, Tim Kraska
2018 J jnl
VizML: A Machine Learning Approach to Visualization Recommendation.
CoRR
Kevin Zeng Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo
2018 J jnl
VizRec: A framework for secure data exploration via visual representation.
CoRR
Lorenzo De Stefani, Leonhard F. Spiegelberg, Tim Kraska, Eli Upfal
2017 J jnl
A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets.
Proc. VLDB Endow.
Yeounoh Chung, Sanjay Krishnan, Tim Kraska
2017 — conf
Approximate Query Processing for Interactive Data Science.
SIGMOD Conference
Tim Kraska
2017 — conf
Controlling False Discoveries During Interactive Data Exploration.
SIGMOD Conference
Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen, Carsten Binnig, Eli Upfal, Tim Kraska
2017 A* conf
Data Science Education: We're Missing the Boat, Again.
ICDE
Bill Howe, Michael J. Franklin, Laura M. Haas, Tim Kraska, Jeffrey D. Ullman
2017 J jnl
How Progressive Visualizations Affect Exploratory Analysis.
IEEE Trans. Vis. Comput. Graph.
Emanuel Zgraggen, Alex Galakatos, Andrew Crotty, Jean-Daniel Fekete, Tim Kraska
2017 Misc conf
IncMap: A Journey towards Ontology-based Data Integration.
BTW
Christoph Pinkel, Carsten Binnig, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Andriy Nikolov, Andreas Schwarte, Christian Heupel, Tim Kraska
2017 J jnl
Letter from the Special Issue Editor.
IEEE Data Eng. Bull.
Tim Kraska
2017 J jnl
Letter from the Special Issue Editor.
IEEE Data Eng. Bull.
Tim Kraska
2017 J jnl
Rethinking Distributed Query Execution on High-Speed Networks.
IEEE Data Eng. Bull.
Abdallah Salama, Carsten Binnig, Tim Kraska, Ansgar Scherp, Tobias Ziegler
2017 J jnl
Revisiting Reuse for Approximate Query Processing.
Proc. VLDB Endow.
Alex Galakatos, Andrew Crotty, Emanuel Zgraggen, Carsten Binnig, Tim Kraska
2017 — conf
Revisiting Reuse in Main Memory Database Systems.
SIGMOD Conference
Kayhan Dursun, Carsten Binnig, Ugur Çetintemel, Tim Kraska
2017 — conf
Safe Visual Data Exploration.
SIGMOD Conference
Zheguang Zhao, Emanuel Zgraggen, Lorenzo De Stefani, Carsten Binnig, Eli Upfal, Tim Kraska
2017 Misc conf
Spotlytics: How to Use Cloud Market Places for Analytics?
BTW
Tim Kraska, Elkhan Dadashov, Carsten Binnig
2017 J jnl
The Case for Learned Index Structures.
CoRR
Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis
2017 J jnl
The End of a Myth: Distributed Transaction Can Scale.
Proc. VLDB Endow.
Erfan Zamanian, Carsten Binnig, Tim Kraska, Tim Harris
2017 A conf
Toward Sustainable Insights, or Why Polygamy is Bad for You.
CIDR
Carsten Binnig, Lorenzo De Stefani, Tim Kraska, Eli Upfal, Emanuel Zgraggen, Zheguang Zhao
2017 — conf
Towards Interactive Data Exploration.
BIRTE (Revised Selected Papers)
Carsten Binnig, Fuat Basik, Benedetto Buratti, Ugur Çetintemel, Yeounoh Chung, Andrew Crotty, Cyrus Cousins, Dylan Ebert, Philipp Eichmann, Alex Galakatos, Benjamin Hättasch, Amir Ilkhechi, Tim Kraska, Zeyuan Shang, Isabella Tromba, Arif Usta, Prasetya Ajie Utama, Eli Upfal, Linnan Wang, Nathaniel Weir, Robert C. Zeleznik, Emanuel Zgraggen
2017 — conf
What you see is not what you get!: Detecting Simpson's Paradoxes during Data Exploration.
HILDA@SIGMOD
Yue Guo, Carsten Binnig, Tim Kraska
2016 J jnl
A Data Quality Metric (DQM): How to Estimate The Number of Undetected Errors in Data Sets.
CoRR
Yeounoh Chung, Sanjay Krishnan, Tim Kraska
2016 J jnl
Answering enumeration queries with the crowd.
Commun. ACM
Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar
2016 J jnl
Controlling False Discoveries During Interactive Data Exploration.
CoRR
Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen, Carsten Binnig, Eli Upfal, Tim Kraska
2016 A* conf
Dark Data: Are we solving the right problems?
ICDE
Michael J. Cafarella, Ihab F. Ilyas, Marcel Kornacker, Tim Kraska, Christopher Ré
2016 — conf
Estimating the Impact of Unknown Unknowns on Aggregate Query Results.
SIGMOD Conference
Yeounoh Chung, Michael Lind Mortensen, Carsten Binnig, Tim Kraska
2016 — conf
Making the Case for Query-by-Voice with EchoQuery.
SIGMOD Conference
Gabriel Lyons, Vinh Tran, Carsten Binnig, Ugur Çetintemel, Tim Kraska
2016 — conf
PrivateClean: Data Cleaning and Differential Privacy.
SIGMOD Conference
Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska
2016 J jnl
Revisiting Reuse in Main Memory Database Systems.
CoRR
Kayhan Dursun, Carsten Binnig, Ugur Çetintemel, Tim Kraska
2016 J jnl
The End of Slow Networks: It's Time for a Redesign.
Proc. VLDB Endow.
Carsten Binnig, Andrew Crotty, Alex Galakatos, Tim Kraska, Erfan Zamanian
2016 J jnl
The End of a Myth: Distributed Transactions Can Scale.
CoRR
Erfan Zamanian, Carsten Binnig, Tim Kraska, Tim Harris
2016 — conf
The case for interactive data exploration accelerators (IDEAs).
HILDA@SIGMOD
Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska
2016 J jnl
Towards a Benchmark for Interactive Data Exploration.
IEEE Data Eng. Bull.
Philipp Eichmann, Emanuel Zgraggen, Zheguang Zhao, Carsten Binnig, Tim Kraska
2016 — conf
VisTrees: fast indexes for interactive data exploration.
HILDA@SIGMOD
Muhammad El-Hindi, Zheguang Zhao, Carsten Binnig, Tim Kraska
2015 — ed.
7th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud '15, Santa Clara, CA, USA, July 6-7, 2015.
HotCloud
Irfan Ahmad, Tim Kraska
2015 J jnl
A Demonstration of the BigDAWG Polystore System.
Proc. VLDB Endow.
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
2015 J jnl
An Architecture for Compiling UDF-centric Workflows.
Proc. VLDB Endow.
Andrew Crotty, Alex Galakatos, Kayhan Dursun, Tim Kraska, Carsten Binnig, Ugur Çetintemel, Stan Zdonik
2015 — conf
Automating model search for large scale machine learning.
SoCC
Evan Randall Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska
2015 — conf
Cost-based Fault-tolerance for Parallel Data Processing.
SIGMOD Conference
Abdallah Salama, Carsten Binnig, Tim Kraska, Erfan Zamanian
2015 J jnl
Crowdsourcing Enumeration Queries: Estimators and Interfaces.
IEEE Trans. Knowl. Data Eng.
Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar, Venketaram Ramachandran
2015 J jnl
Estimating the Impact of Unknown Unknowns on Aggregate Query Results.
CoRR
Yeounoh Chung, Michael Lind Mortensen, Carsten Binnig, Tim Kraska
2015 J jnl
Fault-Tolerant Entity Resolution with the Crowd.
CoRR
Anja Gruenheid, Besmira Nushi, Tim Kraska, Wolfgang Gatterbauer, Donald Kossmann
2015 — conf
Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype?
SIGMOD Conference
Christopher Ré, Divy Agrawal, Magdalena Balazinska, Michael J. Cafarella, Michael I. Jordan, Tim Kraska, Raghu Ramakrishnan
2015 J jnl
S-Store: Streaming Meets Transaction Processing.
CoRR
John Meehan, Nesime Tatbul, Stanley B. Zdonik, Cansu Aslantas, Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, Andrew Pavlo, Michael Stonebraker, Kristin Tufte, Hao Wang
2015 J jnl
S-Store: Streaming Meets Transaction Processing.
Proc. VLDB Endow.
John Meehan, Nesime Tatbul, Stan Zdonik, Cansu Aslantas, Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, Andrew Pavlo, Michael Stonebraker, Kristin Tufte, Hao Wang
2015 J jnl
SampleClean: Fast and Reliable Analytics on Dirty Data.
IEEE Data Eng. Bull.
Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo, Eugene Wu
2015 C conf
SpotADAPT: Spot-Aware (re-)Deployment of Analytical Processing Tasks on Amazon EC2.
DOLAP
Dalia Kaulakiene, Christian Thomsen, Torben Bach Pedersen, Ugur Çetintemel, Tim Kraska
2015 J jnl
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views.
CoRR
Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska
2015 J jnl
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views.
Proc. VLDB Endow.
Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska
2015 J jnl
The End of Slow Networks: It's Time for a Redesign.
CoRR
Carsten Binnig, Ugur Çetintemel, Andrew Crotty, Alex Galakatos, Tim Kraska, Erfan Zamanian, Stanley B. Zdonik
2015 J jnl
TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries.
CoRR
Evan Randall Sparks, Ameet Talwalkar, Michael J. Franklin, Michael I. Jordan, Tim Kraska
2015 A conf
Tupleware: "Big" Data, Big Analytics, Small Clusters.
CIDR
Andrew Crotty, Alex Galakatos, Kayhan Dursun, Tim Kraska, Ugur Çetintemel, Stanley B. Zdonik
2015 J jnl
Vizdom: Interactive Analytics through Pen and Touch.
Proc. VLDB Endow.
Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, Tim Kraska
2014 — conf
A sample-and-clean framework for fast and accurate query processing on dirty data.
SIGMOD Conference
Jiannan Wang, Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo
2014 J jnl
Leveraging Transitive Relations for Crowdsourced Joins.
CoRR
Jiannan Wang, Guoliang Li, Tim Kraska, Michael J. Franklin, Jianhua Feng
2014 — conf
PLANET: making progress with commit processing in unpredictable environments.
SIGMOD Conference
Gene Pang, Tim Kraska, Michael J. Franklin, Alan D. Fekete
2014 J jnl
Putting Analytics on the Spot: Or How to Lower the Cost for Analytics.
IEEE Internet Comput.
Elkhan Dadashov, Ugur Çetintemel, Tim Kraska
2014 J jnl
S-Store: A Streaming NewSQL System for Big Velocity Applications.
Proc. VLDB Endow.
Ugur Çetintemel, Jiang Du, Tim Kraska, Samuel Madden, David Maier, John Meehan, Andrew Pavlo, Michael Stonebraker, Erik Sutherland, Nesime Tatbul, Kristin Tufte, Hao Wang, Stanley B. Zdonik
2014 — conf
Should we all be teaching "intro to data science" instead of "intro to databases"?
SIGMOD Conference
Bill Howe, Michael J. Franklin, Juliana Freire, James Frew, Tim Kraska, Raghu Ramakrishnan
2014 J jnl
The Expected Optimal Labeling Order Problem for Crowdsourced Joins and Entity Resolution.
CoRR
Jiannan Wang, Guoliang Li, Tim Kraska, Michael J. Franklin, Jianhua Feng
2014 J jnl
Tupleware: Distributed Machine Learning on Small Clusters.
IEEE Data Eng. Bull.
Andrew Crotty, Alex Galakatos, Tim Kraska
2014 J jnl
Tupleware: Redefining Modern Analytics.
CoRR
Andrew Crotty, Alex Galakatos, Kayhan Dursun, Tim Kraska, Ugur Çetintemel, Stanley B. Zdonik
2013 — conf
A Framework for Adaptive Crowd Query Processing.
HCOMP (Works in Progress / Demos)
Beth Trushkowsky, Tim Kraska, Michael J. Franklin
2013 B conf
CASTLE: Crowd-Assisted System for Text Labeling and Extraction.
HCOMP
Sean Goldberg, Daisy Zhe Wang, Tim Kraska
2013 A conf
CrowdQ: Crowdsourced Query Understanding.
CIDR
Gianluca Demartini, Beth Trushkowsky, Tim Kraska, Michael J. Franklin
2013 A* conf
Crowdsourced enumeration queries.
ICDE
Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar
2013 J jnl
Finding the Needle in the Big Data Systems Haystack.
IEEE Internet Comput.
Tim Kraska
2013 — conf
Generalized scale independence through incremental precomputation.
SIGMOD Conference
Michael Armbrust, Eric Liang, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson
2013 — conf
Leveraging transitive relations for crowdsourced joins.
SIGMOD Conference
Jiannan Wang, Guoliang Li, Tim Kraska, Michael J. Franklin, Jianhua Feng
2013 A conf
MDCC: multi-data center consistency.
EuroSys
Tim Kraska, Gene Pang, Michael J. Franklin, Samuel Madden, Alan D. Fekete
2013 A* conf
MLI: An API for Distributed Machine Learning.
ICDM
Evan Randall Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska
2013 J jnl
MLI: An API for Distributed Machine Learning.
CoRR
Evan Randall Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska
2013 A conf
MLbase: A Distributed Machine-learning System.
CIDR
Tim Kraska, Ameet Talwalkar, John C. Duchi, Rean Griffith, Michael J. Franklin, Michael I. Jordan
2013 — conf
RTP: robust tenant placement for elastic in-memory database clusters.
SIGMOD Conference
Jan Schaffner, Tim Januschowski, Megan Kercher, Tim Kraska, Hasso Plattner, Michael J. Franklin, Dean Jacobs
2013 J jnl
The New Database Architectures.
IEEE Internet Comput.
Tim Kraska, Beth Trushkowsky
2012 J jnl
CrowdER: Crowdsourcing Entity Resolution
CoRR
Jiannan Wang, Tim Kraska, Michael J. Franklin, Jianhua Feng
2012 J jnl
CrowdER: Crowdsourcing Entity Resolution.
Proc. VLDB Endow.
Jiannan Wang, Tim Kraska, Michael J. Franklin, Jianhua Feng
2012 J jnl
Getting It All from the Crowd
CoRR
Beth Trushkowsky, Tim Kraska, Michael J. Franklin, Purnamrita Sarkar
2012 J jnl
MDCC: Multi-Data Center Consistency
CoRR
Tim Kraska, Gene Pang, Michael J. Franklin, Samuel Madden
2012 — conf
Stormy: an elastic and highly available streaming service in the cloud.
EDBT/ICDT Workshops
Simon Loesing, Martin Hentschel, Tim Kraska, Donald Kossmann
2011 J jnl
CrowdDB: Query Processing with the VLDB Crowd.
Proc. VLDB Endow.
Amber Feng, Michael J. Franklin, Donald Kossmann, Tim Kraska, Samuel Madden, Sukriti Ramesh, Andrew Wang, Reynold Xin
2011 — conf
CrowdDB: answering queries with crowdsourcing.
SIGMOD Conference
Michael J. Franklin, Donald Kossmann, Tim Kraska, Sukriti Ramesh, Reynold Xin
2011 J jnl
Crowdsourcing Applications and Platforms: A Data Management Perspective.
Proc. VLDB Endow.
AnHai Doan, Michael J. Franklin, Donald Kossmann, Tim Kraska
2011 J jnl
PIQL: Success-Tolerant Query Processing in the Cloud
CoRR
Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson
2011 J jnl
PIQL: Success-Tolerant Query Processing in the Cloud.
Proc. VLDB Endow.
Michael Armbrust, Kristal Curtis, Tim Kraska, Armando Fox, Michael J. Franklin, David A. Patterson
2011 J jnl
Repeatability and workability evaluation of SIGMOD 2011.
SIGMOD Rec.
Philippe Bonnet, Stefan Manegold, Matias Bjørling, Wei Cao, Javier González, Joel A. Granados, Nancy Hall, Stratos Idreos, Milena Ivanova, Ryan Johnson, David Koop, Tim Kraska, René Müller, Dan Olteanu, Paolo Papotti, Christine F. Reilly, Dimitris Tsirogiannis, Cong Yu, Juliana Freire, Dennis E. Shasha
2010 — conf
An evaluation of alternative architectures for transaction processing in the cloud.
SIGMOD Conference
Donald Kossmann, Tim Kraska, Simon Loesing
2010 — —
Building Database Applications in the Cloud.
Tim Kraska
2010 J jnl
Cloudy: A Modular Cloud Storage System.
Proc. VLDB Endow.
Donald Kossmann, Tim Kraska, Simon Loesing, Stephan Merkli, Raman Mittal, Flavio Pfaffhauser
2010 J jnl
Data Management in the Cloud: Promises, State-of-the-art, and Open Questions.
Datenbank-Spektrum
Donald Kossmann, Tim Kraska
2009 J jnl
Consistency Rationing in the Cloud: Pay only when it matters.
Proc. VLDB Endow.
Tim Kraska, Martin Hentschel, Gustavo Alonso, Donald Kossmann
2009 — conf
How is the weather tomorrow?: towards a benchmark for the cloud.
DBTest
Carsten Binnig, Donald Kossmann, Tim Kraska, Simon Loesing
2009 J jnl
XQuery Reloaded.
Proc. VLDB Endow.
Roger Bamford, Vinayak R. Borkar, Matthias Brantner, Peter M. Fischer, Daniela Florescu, David A. Graf, Donald Kossmann, Tim Kraska, Dan Muresan, Sorin Nasoi, Markos Zacharioudaki
2009 A* conf
XQuery in the browser.
WWW
Ghislain Fourny, Markus Pilman, Daniela Florescu, Donald Kossmann, Tim Kraska, Darin McBeath
2008 — conf
Building a database on S3.
SIGMOD Conference
Matthias Brantner, Daniela Florescu, David A. Graf, Donald Kossmann, Tim Kraska
2008 — conf
XQuery in the browser.
SIGMOD Conference
Ghislain Fourny, Donald Kossmann, Tim Kraska, Markus Pilman, Daniela Florescu
2007 A* conf
Extending XQuery with Window Functions.
VLDB
Irina Botan, Peter M. Fischer, Daniela Florescu, Donald Kossmann, Tim Kraska, Rokas Tamosevicius
2006 Misc conf
Genea: Schema-Aware Mapping of Ontologies into Relational Databases.
COMAD
Tim Kraska, Uwe Röhm
2006 — conf
PathBank: Web-Based Querying and Visualziation of an Integrated Biological Pathway Database.
CGIV
Joshua Wing Kei Ho, Tristan Manwaring, Seok-Hee Hong, Uwe Röhm, David Cho Yau Fung, Kai Xu, Tim Kraska, David Hart