Tim Kraska

ORCID

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 178

Top Venues

Publications

Gaurav Saxena, Mohammad Rahman, Naresh Chainani, Chunbin Lin, George Caragea, Fahim Chowdhury, Ryan Marcus, Tim Kraska, Ippokratis Pandis, Balakrishnan (Murali) Narayanaswamy
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift. SIGMOD Conference Companion (2023)
Ibrahim Sabek, Tim Kraska
The Case for Learned In-Memory Joins. Proc. VLDB Endow. 16 (7) (2023)
Leonhard F. Spiegelberg, Tim Kraska, Malte Schwarzkopf
Hyperspecialized Compilation for Serverless Data Analytics. VLDB Workshops (2023)
Tim Kraska
Technical Perspective for Sherman: A Write-Optimized Distributed B+Tree Index on Disaggregated Memory. SIGMOD Rec. 52 (1) (2023)
Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Sam Madden
Extract-Transform-Load for Video Streams. Proc. VLDB Endow. 16 (9) (2023)
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden
FactorJoin: A New Cardinality Estimation Framework for Join Queries. Proc. ACM Manag. Data 1 (1) (2023)
Ani Kristo, Tim Kraska
Parallel External Sorting of ASCII Records Using Learned Models. CoRR (2023)
Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi
Unshackling Database Benchmarking from Synthetic Workloads. ICDE (2023)
Zui Chen, Lei Cao, Sam Madden, Ju Fan, Nan Tang, Zihui Gu, Zeyuan Shang, Chunwei Liu, Michael J. Cafarella, Tim Kraska
SEED: Simple, Efficient, and Effective Data Management via Large Language Models. CoRR (2023)
Tim Kraska, Tianyu Li, Samuel Madden, Markos Markakis, Amadou Ngom, Ziniu Wu, Geoffrey X. Yu
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes. Proc. VLDB Endow. 16 (11) (2023)
Parimarjan Negi, Ziniu Wu, Andreas Kipf, Nesime Tatbul, Ryan Marcus, Sam Madden, Tim Kraska, Mohammad Alizadeh
Robust Query Driven Cardinality Estimation under Changing Workloads. Proc. VLDB Endow. 16 (6) (2023)
Xi Lyu, Andreas Kipf, Pascal Pfeil, Dominik Horn, Jana Giceva, Tim Kraska
CorBit: Leveraging Correlations for Compressing Bitmap Indexes. VLDB Workshops (2023)
Ferdinand Kossmann, Ziniu Wu, Eugenie Lai, Nesime Tatbul, Lei Cao, Tim Kraska, Samuel Madden
Extract-Transform-Load for Video Streams. CoRR (2023)
Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Michael Mitzenmacher, Tim Kraska
Can Learned Models Replace Hash Functions? Proc. VLDB Endow. 16 (3) (2022)
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, Tim Kraska, Samuel Madden
FactorJoin: A New Cardinality Estimation Framework for Join Queries. CoRR (2022)
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
Bao: Making Learned Query Optimization Practical. SIGMOD Rec. 51 (1) (2022)
Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. ICDE (2022)
Kapil Vaidya, Tim Kraska, Subarna Chatterjee, Eric R. Knorr, Michael Mitzenmacher, Stratos Idreos
SNARF: A Learning-Enhanced Range Filter. Proc. VLDB Endow. 15 (8) (2022)
Samuel Madden, Jialin Ding, Tim Kraska, Sivaprasad Sudhir, David Cohen, Timothy G. Mattson, Nesime Tatbul
Self-Organizing Data Containers. CIDR (2022)
Geoffrey X. Yu, Markos Markakis, Andreas Kipf, Per-Åke Larson, Umar Farooq Minhas, Tim Kraska
TreeLine: An Update-In-Place Key-Value Store for Modern Storage. Proc. VLDB Endow. 16 (1) (2022)
Ibrahim Sabek, Tenzin Samten Ukyab, Tim Kraska
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems. SIGMOD Conference (2022)
Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, Tim Kraska
LSI: a learned secondary index structure. aiDM@SIGMOD (2022)
Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. ICDE (2022)
Jialin Ding, Ryan C. Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska
SageDB: An Instance-Optimized Data Analytics System. Proc. VLDB Endow. 15 (13) (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)
Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, Tim Kraska
LSI: A Learned Secondary Index Structure. CoRR (2022)
Tim Kraska
Living in a Candy Store - from being a PhD Student to Working as a Faculty Member on ML for Systems. PhD@VLDB (2021)
Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Philipp Eichmann, Navid Karimeddiny, Charlie Meyer, Wesley Runnels, Tim Kraska
Davos: A System for Interactive Data-Driven Decision Making. Proc. VLDB Endow. 14 (12) (2021)
Ani Kristo, Kapil Vaidya, Tim Kraska
Defeating duplicates: A re-design of the LearnedSort algorithm. CoRR (2021)
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
DBOS: A DBMS-oriented Operating System. Proc. VLDB Endow. 15 (1) (2021)
Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks. SIGMOD Rec. 50 (1) (2021)
Mihail Stoian, Andreas Kipf, Ryan Marcus, Tim Kraska
PLEX: Towards Practical Learned Indexing. CoRR (2021)
Jialin Ding, Umar Farooq Minhas, Badrish Chandramouli, Chi Wang, Yinan Li, Ying Li, Donald Kossmann, Johannes Gehrke, Tim Kraska
Instance-Optimized Data Layouts for Cloud Analytics Workloads. SIGMOD Conference (2021)
Tim Kraska
Towards instance-optimized data systems. Proc. VLDB Endow. 14 (12) (2021)
Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska
LEA: A Learned Encoding Advisor for Column Stores. aiDM@SIGMOD (2021)
Parimarjan Negi, Ryan C. Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
Flow-Loss: Learning Cardinality Estimates That Matter. Proc. VLDB Endow. 14 (11) (2021)
Songtao He, Favyen Bastani, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
TagMe: GPS-Assisted Automatic Object Annotation in Videos. CoRR (2021)
Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska
LEA: A Learned Encoding Advisor for Column Stores. CoRR (2021)
Laurent Bindschaedler, Andreas Kipf, Tim Kraska, Ryan Marcus, Umar Farooq Minhas
Towards a Benchmark for Learned Systems. ICDE Workshops (2021)
Leonhard F. Spiegelberg, Rahul Yesantharao, Malte Schwarzkopf, Tim Kraska
Tuplex: Data Science in Python at Native Code Speed. SIGMOD Conference (2021)
Benjamin Spector, Andreas Kipf, Kapil Vaidya, Chi Wang, Umar Farooq Minhas, Tim Kraska
Bounding the Last Mile: Efficient Learned String Indexing. CoRR (2021)
Tim Kraska, Umar Farooq Minhas, Thomas Neumann, Olga Papaemmanouil, Jignesh M. Patel, Christopher Ré, Michael Stonebraker
ML-In-Databases: Assessment and Prognosis. IEEE Data Eng. Bull. 44 (1) (2021)
Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal
Steering Query Optimizers: A Practical Take on Big Data Workloads. SIGMOD Conference (2021)
Kapil Vaidya, Eric Knorr, Michael Mitzenmacher, Tim Kraska
Partitioned Learned Bloom Filters. ICLR (2021)
Ibrahim Sabek, Tim Kraska
The Case for Learned In-Memory Joins. CoRR (2021)
Favyen Bastani, Songtao He, Ziwen Jiang, Osbert Bastani, Michael J. Cafarella, Tim Kraska, Sam Madden
SkyQuery: An Aerial Drone Video Sensing Platform. CoRR (2021)
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
Bao: Making Learned Query Optimization Practical. SIGMOD Conference (2021)
Ibrahim Sabek, Kapil Vaidya, Dominik Horn, Andreas Kipf, Tim Kraska
When Are Learned Models Better Than Hash Functions? CoRR (2021)
Parimarjan Negi, Ryan Marcus, Andreas Kipf, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
Flow-Loss: Learning Cardinality Estimates That Matter. CoRR (2021)
Songtao He, Favyen Bastani, Arjun Balasingam, Karthik Gopalakrishnan, Ziwen Jiang, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
BeeCluster: drone orchestration via predictive optimization. MobiSys (2020)
Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger
ARDA: Automatic Relational Data Augmentation for Machine Learning. Proc. VLDB Endow. 13 (9) (2020)
Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh
Cortex: Harnessing Correlations to Boost Query Performance. CoRR (2020)
Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh
Cost-Guided Cardinality Estimation: Focus Where it Matters. ICDE Workshops (2020)
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
MISIM: An End-to-End Neural Code Similarity System. CoRR (2020)
Andrew Crotty, Alex Galakatos, Tim Kraska
Getting Swole: Generating Access-Aware Code with Predicate Pullups. ICDE (2020)
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
Big Data Visualization and Analytics: Future Research Challenges and Emerging Applications. EDBT/ICDT Workshops (2020)
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Paul Petersen, Jesmin Jahan Tithi, Tim Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich
Context-Aware Parse Trees. CoRR (2020)
Ryan Marcus, Emily Zhang, Tim Kraska
CDFShop: Exploring and Optimizing Learned Index Structures. SIGMOD Conference (2020)
Favyen Bastani, Songtao He, Arjun Balasingam, Karthik Gopalakrishnan, Mohammad Alizadeh, Hari Balakrishnan, Michael J. Cafarella, Tim Kraska, Sam Madden
MIRIS: Fast Object Track Queries in Video. SIGMOD Conference (2020)
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann
RadixSpline: a single-pass learned index. aiDM@SIGMOD (2020)
Kapil Vaidya, Eric Knorr, Tim Kraska, Michael Mitzenmacher
Partitioned Learned Bloom Filter. CoRR (2020)
Hussam Abu-Libdeh, Deniz Altinbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou Li, Andy Ly, Christopher Olston
Learned Indexes for a Google-scale Disk-based Database. CoRR (2020)
Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia
DBOS: A Proposal for a Data-Centric Operating System. CoRR (2020)
Michael J. Cafarella, David J. DeWitt, Vijay Gadepally, Jeremy Kepner, Christos Kozyrakis, Tim Kraska, Michael Stonebraker, Matei Zaharia
A Polystore Based Database Operating System (DBOS). Poly/DMAH@VLDB (2020)
Jeremy Kepner, Darren Engwirda, Vijay Gadepally, Chris Hill, Tim Kraska, Michael Jones, Andreas Kipf, Lauren Milechin, Navin Vembar
Fast Mapping onto Census Blocks. CoRR (2020)
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska
Learning Multi-Dimensional Indexes. SIGMOD Conference (2020)
Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska
Benchmarking Learned Indexes. CoRR (2020)
Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska
Learned Garbage Collection. CoRR (2020)
Ani Kristo, Kapil Vaidya, Ugur Çetintemel, Sanchit Misra, Tim Kraska
The Case for a Learned Sorting Algorithm. SIGMOD Conference (2020)
Matthias Jasny, Tobias Ziegler, Tim Kraska, Uwe Röhm, Carsten Binnig
DB4ML - An In-Memory Database Kernel with Machine Learning Support. SIGMOD Conference (2020)
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
Fast Mapping onto Census Blocks. HPEC (2020)
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann
RadixSpline: A Single-Pass Learned Index. CoRR (2020)
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
ALEX: An Updatable Adaptive Learned Index. SIGMOD Conference (2020)
Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska
Learned garbage collection. MAPL@PLDI (2020)
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang
Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach. IEEE Trans. Knowl. Data Eng. 32 (12) (2020)
Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David R. Karger
ARDA: Automatic Relational Data Augmentation for Machine Learning. CoRR (2020)
Erfan Zamanian, Julian Shun, Carsten Binnig, Tim Kraska
Chiller: Contention-centric Transaction Execution and Data Partitioning for Modern Networks. SIGMOD Conference (2020)
Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska
Bao: Learning to Steer Query Optimizers. CoRR (2020)
Ryan Marcus, Andreas Kipf, Alexander van Renen, Mihail Stoian, Sanchit Misra, Alfons Kemper, Thomas Neumann, Tim Kraska
Benchmarking Learned Indexes. Proc. VLDB Endow. 14 (1) (2020)
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. CoRR (2020)
Oscar R. Moll, Favyen Bastani, Sam Madden, Mike Stonebraker, Vijay Gadepally, Tim Kraska
ExSample: Efficient Searches on Video Repositories through Adaptive Sampling. CoRR (2020)
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads. Proc. VLDB Endow. 14 (2) (2020)
Michael Stonebraker, Timothy G. Mattson, Tim Kraska, Vijay Gadepally
Poly'19 Workshop Summary: GDPR. SIGMOD Rec. 49 (3) (2020)
Philipp Eichmann, Emanuel Zgraggen, Carsten Binnig, Tim Kraska
IDEBench: A Benchmark for Interactive Data Exploration. SIGMOD Conference (2020)
Ryan C. Marcus, Parimarjan Negi, Hongzi Mao, Chi Zhang, Mohammad Alizadeh, Tim Kraska, Olga Papaemmanouil, Nesime Tatbul
Neo: A Learned Query Optimizer. Proc. VLDB Endow. 12 (11) (2019)
Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan
SageDB: A Learned Database System. CIDR (2019)
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
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CHI (2019)
Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo
Sherlock: A Deep Learning Approach to Semantic Data Type Detection. CoRR (2019)
Anastasia Ailamaki, Periklis Chrysogelos, Amol Deshpande, Tim Kraska
The SIGMOD 2019 Research Track Reviewing System. SIGMOD Rec. 48 (2) (2019)
Alex Galakatos, Michael Markovitch, Carsten Binnig, Rodrigo Fonseca, Tim Kraska
FITing-Tree: A Data-aware Index Structure. SIGMOD Conference (2019)
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, Steven Euijong Whang
Slice Finder: Automated Data Slicing for Model Validation. ICDE (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)
Madelon Hulsebos, Kevin Zeng Hu, Michiel A. Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çagatay Demiralp, César A. Hidalgo
Sherlock: A Deep Learning Approach to Semantic Data Type Detection. KDD (2019)
Lorenzo De Stefani, Leonhard F. Spiegelberg, Eli Upfal, Tim Kraska
VizCertify: A Framework for Secure Visual Data Exploration. DSAA (2019)
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
VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository. CoRR (2019)
Junjay Tan, Thanaa M. Ghanem, Matthew Perron, Xiangyao Yu, Michael Stonebraker, David J. DeWitt, Marco Serafini, Ashraf Aboulnaga, Tim Kraska
Choosing A Cloud DBMS: Architectures and Tradeoffs. Proc. VLDB Endow. 12 (12) (2019)
Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker
How I Learned to Stop Worrying and Love Re-optimization. CoRR (2019)
Zeyuan Shang, Emanuel Zgraggen, Benedetto Buratti, Ferdinand Kossmann, Philipp Eichmann, Yeounoh Chung, Carsten Binnig, Eli Upfal, Tim Kraska
Democratizing Data Science through Interactive Curation of ML Pipelines. SIGMOD Conference (2019)
Stratos Idreos, Tim Kraska
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems. SIGMOD Conference (2019)
Matthew Perron, Zeyuan Shang, Tim Kraska, Michael Stonebraker
How I Learned to Stop Worrying and Love Re-optimization. ICDE (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tim Kraska