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Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads

Jun 23, 2020
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska


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MISIM: An End-to-End Neural Code Similarity System

Jun 15, 2020
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Nesime Tatbul, Jesmin Jahan Tithi, Paul Petersen, Timothy Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich

* arXiv admin note: text overlap with arXiv:2003.11118 

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Partitioned Learned Bloom Filter

Jun 05, 2020
Kapil Vaidya, Eric Knorr, Tim Kraska, Michael Mitzenmacher

* 13 pages, 3 figures 

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RadixSpline: A Single-Pass Learned Index

May 22, 2020
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann

* Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM 2020) 

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Context-Aware Parse Trees

Mar 24, 2020
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Paul Petersen, Jesmin Jahan Tithi, Tim Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich


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ARDA: Automatic Relational Data Augmentation for Machine Learning

Mar 21, 2020
Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen, Raul Castro Fernandez, Tim Kraska, David Karger


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Learning Multi-dimensional Indexes

Dec 03, 2019
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska


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SOSD: A Benchmark for Learned Indexes

Nov 29, 2019
Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann

* NeurIPS 2019 Workshop on Machine Learning for Systems 

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LISA: Towards Learned DNA Sequence Search

Oct 10, 2019
Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Vasimuddin Md, Tim Kraska


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Sherlock: A Deep Learning Approach to Semantic Data Type Detection

May 25, 2019
Madelon Hulsebos, Kevin Hu, Michiel Bakker, Emanuel Zgraggen, Arvind Satyanarayan, Tim Kraska, Çağatay Demiralp, César Hidalgo

* KDD'19 

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VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

May 12, 2019
Kevin Hu, Neil Gaikwad, Michiel Bakker, Madelon Hulsebos, Emanuel Zgraggen, César Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çağatay Demiralp

* CHI'19 

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SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros 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 Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar


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Unknown Examples & Machine Learning Model Generalization

Aug 24, 2018
Yeounoh Chung, Peter J. Haas, Eli Upfal, Tim Kraska


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VizML: A Machine Learning Approach to Visualization Recommendation

Aug 14, 2018
Kevin Z. Hu, Michiel A. Bakker, Stephen Li, Tim Kraska, César A. Hidalgo


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Slice Finder: Automated Data Slicing for Model Validation

Aug 01, 2018
Yeounoh Chung, Tim Kraska, Neoklis Polyzotis, Steven Euijong Whang

* In submission to ICDE 

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Smallify: Learning Network Size while Training

Jun 10, 2018
Guillaume Leclerc, Manasi Vartak, Raul Castro Fernandez, Tim Kraska, Samuel Madden

* 11 pages, 3 figures 

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The Case for Learned Index Structures

Apr 30, 2018
Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis


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SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks

Jan 13, 2018
Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska

* PPoPP '2018: 23nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming 

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TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries

Mar 08, 2015
Evan R. Sparks, Ameet Talwalkar, Michael J. Franklin, Michael I. Jordan, Tim Kraska


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MLI: An API for Distributed Machine Learning

Oct 25, 2013
Evan R. Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska


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