Ryan Marcus

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All published works
Action Title Year Authors
+ PDF Chat The Unreasonable Effectiveness of LLMs for Query Optimization 2024 Peter Akioyamen
Zixuan Yi
Ryan Marcus
+ PDF Chat A Practical Theory of Generalization in Selectivity Learning 2024 Peizhi Wu
Haotian Xu
Ryan Marcus
Zachary G. Ives
+ PDF Chat BFTBrain: Adaptive BFT Consensus with Reinforcement Learning 2024 Chenyuan Wu
Haoyun Qin
Mohammad Javad Amiri
Boon Thau Loo
Dahlia Malkhi
Ryan Marcus
+ PDF Chat Stage: Query Execution Time Prediction in Amazon Redshift 2024 Ziniu Wu
Ryan Marcus
Zhengchun Liu
Parimarjan Negi
Vikram Nathan
Pascal Pfeil
Gaurav Saxena
Mohammad Rahman
Narayanaswamy Balakrishnan
Tim Kraska
+ PDF Chat Stage: Query Execution Time Prediction in Amazon Redshift 2024 Ziniu Wu
Ryan Marcus
Zhengchun Liu
Parimarjan Negi
Vikram Nathan
Pascal Pfeil
Gaurav Saxena
Mohammad Rahman
Narayanaswamy Balakrishnan
Tim Kraska
+ Kepler: Robust Learning for Parametric Query Optimization 2023 Lyric Doshi
Vincent Zhuang
Gaurav Jain
Ryan Marcus
H. K. Huang
Deniz Altınbüken
Eugene Brevdo
Campbell Fraser
+ PDF Chat AdaChain: A Learned Adaptive Blockchain 2023 Chenyuan Wu
B.R. Mehta
Mohammad Javad Amiri
Ryan Marcus
Boon Thau Loo
+ Learned Query Superoptimization 2023 Ryan Marcus
+ Adding Domain Knowledge to Query-Driven Learned Databases 2023 Peizhi Wu
Ryan Marcus
Zachary G. Ives
+ LSI: A Learned Secondary Index Structure 2022 Andreas Kipf
Dominik Horn
Pascal Pfeil
Ryan Marcus
Tim Kraska
+ AdaChain: A Learned Adaptive Blockchain 2022 Chenyuan Wu
B.R. Mehta
Mohammad Javad Amiri
Ryan Marcus
Boon Thau Loo
+ Towards Practical Learned Indexing. 2021 Mihail Stoian
Andreas Kipf
Ryan Marcus
Tim Kraska
+ PLEX: Towards Practical Learned Indexing. 2021 Mihail Stoian
Andreas Kipf
Ryan Marcus
Tim Kraska
+ LEA: A Learned Encoding Advisor for Column Stores 2021 Lujing Cen
Andreas Kipf
Ryan Marcus
Tim Kraska
+ PDF Chat Bao: Making Learned Query Optimization Practical 2021 Ryan Marcus
Parimarjan Negi
Hongzi Mao
Nesime Tatbul
Mohammad Alizadeh
Tim Kraska
+ Class-Weighted Evaluation Metrics for Imbalanced Data Classification 2021 A. K. Gupta
Nesime Tatbul
Ryan Marcus
Shengtian Zhou
Insup Lee
Justin Gottschlich
+ Flow-Loss: Learning Cardinality Estimates That Matter 2021 Parimarjan Negi
Ryan Marcus
Andreas Kipf
Hongzi Mao
Nesime Tatbul
Tim Kraska
Mohammad Alizadeh
+ Towards Practical Learned Indexing 2021 Mihail Stoian
Andreas Kipf
Ryan Marcus
Tim Kraska
+ PDF Chat Benchmarking learned indexes 2020 Ryan Marcus
Andreas Kipf
Alexander van Renen
Mihail Stoian
Sanchit Misra
Alfons Kemper
Thomas Neumann
Tim Kraska
+ Benchmarking Learned Indexes 2020 Ryan Marcus
Andreas Kipf
Alexander van Renen
Mihail Stoian
Sanchit Misra
Alfons Kemper
Thomas Neumann
Tim Kraska
+ MISIM: An End-to-End Neural Code Similarity System. 2020 Fangke Ye
Shengtian Zhou
Anand Venkat
Ryan Marcus
Nesime Tatbul
Jesmin Jahan Tithi
Paul Petersen
Timothy G. Mattson
Tim Kraska
Pradeep Dubey
+ MISIM: A Novel Code Similarity System 2020 Fangke Ye
Shengtian Zhou
Anand Venkat
Ryan Marcus
Nesime Tatbul
Jesmin Jahan Tithi
Niranjan Hasabnis
Paul Petersen
Timothy G. Mattson
Tim Kraska
+ Learned garbage collection 2020 Lujing Cen
Ryan Marcus
Hongzi Mao
Justin Gottschlich
Mohammad Alizadeh
Tim Kraska
+ Bao: Learning to Steer Query Optimizers. 2020 Ryan Marcus
Parimarjan Negi
Hongzi Mao
Nesime Tatbul
Mohammad Alizadeh
Tim Kraska
+ ARDA: Automatic Relational Data Augmentation for Machine Learning 2020 Nadiia Chepurko
Ryan Marcus
Emanuel Zgraggen
Raul Castro Fernandez
Tim Kraska
David R. Karger
+ Context-Aware Parse Trees 2020 Fangke Ye
Shengtian Zhou
Anand Venkat
Ryan Marcus
Paul Petersen
Jesmin Jahan Tithi
Tim Mattson
Tim Kraska
Pradeep Dubey
Vivek Sarkar
+ Learned Garbage Collection 2020 Lujing Cen
Ryan Marcus
Hongzi Mao
Justin Gottschlich
Mohammad Alizadeh
Tim Kraska
+ RadixSpline: A Single-Pass Learned Index 2020 Andreas Kipf
Ryan Marcus
Alexander van Renen
Mihail Stoian
Alfons Kemper
Tim Kraska
Thomas Neumann
+ Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning 2020 Chi Zhang
Ryan Marcus
Anat Kleiman
Olga Papaemmanouil
+ MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure 2020 Fangke Ye
Shengtian Zhou
Anand Venkat
Ryan Marcus
Nesime Tatbul
Jesmin Jahan Tithi
Niranjan Hasabnis
Paul Petersen
Timothy G. Mattson
Tim Kraska
+ Benchmarking Learned Indexes 2020 Ryan Marcus
Andreas Kipf
Alexander van Renen
Mihail Stoian
Sanchit Misra
Alfons Kemper
Thomas Neumann
Tim Kraska
+ ARDA: Automatic Relational Data Augmentation for Machine Learning 2020 Nadiia Chepurko
Ryan Marcus
Emanuel Zgraggen
Raul Castro Fernandez
Tim Kraska
David R. Karger
+ A Skew-Sensitive Evaluation Framework for Imbalanced Data Classification 2020 Min Du
Nesime Tatbul
Brian M. Rivers
Akhilesh Kumar Gupta
Lucas Zhongming Hu
Wei Wang
Ryan Marcus
Shengtian Zhou
Insup Lee
Justin Gottschlich
+ PDF Chat Neo 2019 Ryan Marcus
Parimarjan Negi
Hongzi Mao
Chi Zhang
Mohammad Alizadeh
Tim Kraska
Olga Papaemmanouil
Nesime Tatbul
+ PDF Chat Plan-structured deep neural network models for query performance prediction 2019 Ryan Marcus
Olga Papaemmanouil
+ Flexible Operator Embeddings via Deep Learning. 2019 Ryan Marcus
Olga Papaemmanouil
+ SOSD: A Benchmark for Learned Indexes 2019 Andreas Kipf
Ryan Marcus
Alexander van Renen
Mihail Stoian
Alfons Kemper
Tim Kraska
Thomas Neumann
+ Flexible Operator Embeddings via Deep Learning 2019 Ryan Marcus
Olga Papaemmanouil
+ PDF Chat Deep Reinforcement Learning for Join Order Enumeration 2018 Ryan Marcus
Olga Papaemmanouil
+ Towards a Hands-Free Query Optimizer through Deep Learning 2018 Ryan Marcus
Olga Papaemmanouil
+ PDF Chat WiSeDB 2016 Ryan Marcus
Olga Papaemmanouil
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat The Case for Learned Index Structures 2018 Tim Kraska
Alex Beutel
Ed H.
Jay B. Dean
Neoklis Polyzotis
13
+ PDF Chat The three pillars of machine programming 2018 Justin Gottschlich
Armando Solar-Lezama
Nesime Tatbul
Michael Carbin
Martin Rinard
Regina Barzilay
Saman Amarasinghe
Joshua B. Tenenbaum
Tim Mattson
11
+ Learning State Representations for Query Optimization with Deep Reinforcement Learning 2018 Jennifer Ortiz
Magdalena Balazinska
Johannes Gehrke
S. Sathiya Keerthi
8
+ Convolutional Neural Networks over Tree Structures for Programming Language Processing 2014 Lili Mou
Ge Li
Lu Zhang
Tao Wang
Zhi Jin
7
+ PDF Chat Deep Reinforcement Learning for Join Order Enumeration 2018 Ryan Marcus
Olga Papaemmanouil
7
+ LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations 2018 Michael Schaarschmidt
Alexander Kuhnle
Ben Ellis
Kai Fricke
Felix Gessert
Eiko Yoneki
7
+ PDF Chat The PGM-index 2020 Paolo Ferragina
Giorgio Vinciguerra
6
+ PDF Chat Neo 2019 Ryan Marcus
Parimarjan Negi
Hongzi Mao
Chi Zhang
Mohammad Alizadeh
Tim Kraska
Olga Papaemmanouil
Nesime Tatbul
6
+ PDF Chat Deep learning in neural networks: An overview 2014 Jürgen Schmidhuber
5
+ PDF Chat Robust estimation of resource consumption for SQL queries using statistical techniques 2012 Jiexing Li
Arnd Christian König
Vivek Narasayya
Surajit Chaudhuri
5
+ ALEX: An Updatable Adaptive Learned Index 2020 Jialin Ding
Umar Farooq Minhas
Jia Yu
Chi Wang
Jaeyoung Do
Yinan Li
Hantian Zhang
Badrish Chandramouli
Johannes Gehrke
Donald Kossmann
5
+ Learning State Representations for Query Optimization with Deep Reinforcement Learning 2018 Jennifer Ortiz
Magdalena Balazinska
Johannes Gehrke
S. Sathiya Keerthi
5
+ SOSD: A Benchmark for Learned Indexes 2019 Andreas Kipf
Ryan Marcus
Alexander van Renen
Mihail Stoian
Alfons Kemper
Tim Kraska
Thomas Neumann
5
+ PDF Chat An end-to-end learning-based cost estimator 2019 Ji Sun
Guoliang Li
5
+ PDF Chat Aroma: code recommendation via structural code search 2019 Sifei Luan
Di Yang
Celeste Barnaby
Koushik Sen
Satish Chandra
4
+ Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2018 Andreas Kipf
Thomas Kipf
Bernhard Radke
Viktor Leis
Peter Boncz
Alfons Kemper
4
+ PDF Chat WiSeDB 2016 Ryan Marcus
Olga Papaemmanouil
4
+ PDF Chat Deep unsupervised cardinality estimation 2019 Zongheng Yang
Eric Liang
Amog Kamsetty
Chenggang Wu
Yan Duan
Xi Chen
Pieter Abbeel
Joseph M. Hellerstein
Sanjay Krishnan
Ion Stoica
4
+ Learning to Optimize Join Queries With Deep Reinforcement Learning. 2018 Sanjay Krishnan
Zongheng Yang
Ken Goldberg
Joseph M. Hellerstein
Ion Stoica
4
+ PDF Chat QuickSel: Quick Selectivity Learning with Mixture Models 2020 Yongjoo Park
Shucheng Zhong
Barzan Mozafari
4
+ Efficient Estimation of Word Representations in Vector Space 2013 Tomáš Mikolov
Kai Chen
Greg S. Corrado
Jay B. Dean
4
+ Learning Scheduling Algorithms for Data Processing Clusters 2018 Hongzi Mao
Malte Schwarzkopf
Shaileshh Bojja Venkatakrishnan
Zili Meng
Mohammad Alizadeh
4
+ PDF Chat Plan-structured deep neural network models for query performance prediction 2019 Ryan Marcus
Olga Papaemmanouil
3
+ PDF Chat code2vec: learning distributed representations of code 2019 Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
3
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
3
+ Learning to Represent Programs with Graphs 2017 Miltiadis Allamanis
Marc Brockschmidt
Mahmoud Khademi
3
+ PDF Chat A brief survey of deep reinforcement learning 2017 Kai Arulkumaran
Marc Peter Deisenroth
Miles Brundage
Anil A. Bharath
3
+ PDF Chat A Survey of Machine Learning for Big Code and Naturalness 2018 Miltiadis Allamanis
Earl T. Barr
Prémkumar Dévanbu
Charles Sutton
3
+ How transferable are features in deep neural networks 2014 Jason Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
3
+ Learning Multi-Dimensional Indexes 2020 Vikram Nathan
Jialin Ding
Mohammad Alizadeh
Tim Kraska
3
+ Erratum: A better measure of relative prediction accuracy for model selection and model estimation 2014 Chris Tofallis
3
+ Towards a Hands-Free Query Optimizer through Deep Learning 2018 Ryan Marcus
Olga Papaemmanouil
3
+ PDF Chat FITing-Tree 2019 Alex Galakatos
Michael Markovitch
Carsten Binnig
Rodrigo Fonseca
Tim Kraska
3
+ PDF Chat Bao: Making Learned Query Optimization Practical 2021 Ryan Marcus
Parimarjan Negi
Hongzi Mao
Nesime Tatbul
Mohammad Alizadeh
Tim Kraska
3
+ PDF Chat How Developers Choose Names 2020 Dror G. Feitelson
Ayelet Mizrahi
Nofar Noy
Aviad Ben Shabat
Or Eliyahu
Roy Sheffer
3
+ Software Language Comprehension using a Program-Derived Semantic Graph 2020 Roshni G. Iyer
Yizhou Sun
Wei Wang
Justin Gottschlich
3
+ PDF Chat LSM-based storage techniques: a survey 2019 Chen Luo
Michael J. Carey
3
+ PDF Chat Deep Q-learning From Demonstrations 2018 Todd Hester
Matej Vecerík
Olivier Pietquin
Marc Lanctot
Tom Schaul
Bilal Piot
Dan Horgan
John Quan
Andrew Sendonaris
Ian Osband
3
+ Innateness, AlphaZero, and Artificial Intelligence 2018 Gary Marcus
3
+ Cuttlefish: A Lightweight Primitive for Adaptive Query Processing 2018 Tomer Kaftan
Magdalena Balazinska
Alvin Cheung
Johannes Gehrke
3
+ Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling 2018 Carlos Riquelme
George Tucker
Jasper Snoek
2
+ Learning scheduling algorithms for data processing clusters 2019 Hongzi Mao
Malte Schwarzkopf
Shaileshh Bojja Venkatakrishnan
Zili Meng
Mohammad Alizadeh
2
+ PDF Chat Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis 2012 Emilie Kaufmann
Nathaniel Korda
Rémi Munos
2
+ ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES 1933 W. R THOMPSON
2
+ Proximal Policy Optimization Algorithms 2017 John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
2
+ Further Optimal Regret Bounds for Thompson Sampling 2012 Shipra Agrawal
Navin Goyal
2
+ Attention is All you Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
2
+ PDF Chat Getafix: learning to fix bugs automatically 2019 Johannes Bader
Andrew Scott
Michael Pradel
Satish Chandra
2
+ An Empirical Analysis of Deep Learning for Cardinality Estimation. 2019 Jennifer Ortiz
Magdalena Balazinska
Johannes Gehrke
S. Sathiya Keerthi
2
+ Modeling Relational Data with Graph Convolutional Networks 2018 Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
2