Eugene Brevdo

26 papers A* 1A 1B 1Misc 2Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2024 B conf
The Next 700 ML-Enabled Compiler Optimizations.
CC
S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta
2023 Misc conf
HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network.
NSDI
Zhenyu Song, Kevin Chen, Nuikhil Sarda, Deniz Altinbüken, Eugene Brevdo, Jimmy Coleman, Xiao Ju, Pawel Jurczyk, Richard Schooler, Ramki Gummadi
2023 J jnl
Kepler: Robust Learning for Faster Parametric Query Optimization.
CoRR
Lyric Doshi, Vincent Zhuang, Gaurav Jain, Ryan Marcus, Haoyu Huang, Deniz Altinbüken, Eugene Brevdo, Campbell Fraser
2023 J jnl
Kepler: Robust Learning for Parametric Query Optimization.
Proc. ACM Manag. Data
Lyric Doshi, Vincent Zhuang, Gaurav Jain, Ryan Marcus, Haoyu Huang, Deniz Altinbüken, Eugene Brevdo, Campbell Fraser
2023 J jnl
The Next 700 ML-Enabled Compiler Optimizations.
CoRR
S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta
2022 — conf
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.
MLSys
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
2022 — conf
Differentiable Architecture Search for Reinforcement Learning.
AutoML
Yingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
2021 J jnl
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.
CoRR
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
2021 J jnl
MLGO: a Machine Learning Guided Compiler Optimizations Framework.
CoRR
Mircea Trofin, Yundi Qian, Eugene Brevdo, Zinan Lin, Krzysztof Choromanski, David Li
2021 J jnl
RL-DARTS: Differentiable Architecture Search for Reinforcement Learning.
CoRR
Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
2021 J jnl
Reverb: A Framework For Experience Replay.
CoRR
Albin Cassirer, Gabriel Barth-Maron, Eugene Brevdo, Sabela Ramos, Toby Boyd, Thibault Sottiaux, Manuel Kroiss
2018 J jnl
Dynamic Control Flow in Large-Scale Machine Learning.
CoRR
Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng
2018 A conf
Dynamic control flow in large-scale machine learning.
EuroSys
Yuan Yu, Martín Abadi, Paul Barham, Eugene Brevdo, Mike Burrows, Andy Davis, Jeff Dean, Sanjay Ghemawat, Tim Harley, Peter Hawkins, Michael Isard, Manjunath Kudlur, Rajat Monga, Derek Gordon Murray, Xiaoqiang Zheng
2018 A* conf
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion.
NeurIPS
Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
2018 J jnl
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion.
CoRR
Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
2018 — conf
Tensor2Tensor for Neural Machine Translation.
AMTA (1)
Ashish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit
2018 J jnl
Tensor2Tensor for Neural Machine Translation.
CoRR
Ashish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit
2017 — conf
Deep Probabilistic Programming.
ICLR (Poster)
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei
2017 J jnl
Deep Probabilistic Programming.
CoRR
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei
2017 J jnl
TensorFlow Distributions.
CoRR
Joshua V. Dillon, Ian Langmore, Dustin Tran, Eugene Brevdo, Srinivas Vasudevan, Dave Moore, Brian Patton, Alex Alemi, Matthew D. Hoffman, Rif A. Saurous
2016 J jnl
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
CoRR
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
2013 J jnl
The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications.
Signal Process.
Gaurav Thakur, Eugene Brevdo, Neven S. Fuckar, Hau-Tieng Wu
2011 J jnl
The Synchrosqueezing algorithm: a robust analysis tool for signals with time-varying spectrum
CoRR
Eugene Brevdo, Neven S. Fuckar, Gaurav Thakur, Hau-Tieng Wu
2010 Misc conf
Bridge detection and robust geodesics estimation via random walks.
ICASSP
Eugene Brevdo, Peter J. Ramadge
2009 — conf
Stylistic analysis of paintings usingwavelets and machine learning.
EUSIPCO
Sina Jafarpour, Gungor Polatkan, Eugene Brevdo, Shannon M. Hughes, Andrei Brasoveanu, Ingrid Daubechies
2008 J jnl
Image processing for artist identification.
IEEE Signal Process. Mag.
C. Richard Johnson Jr., Ella Hendriks, Igor J. Berezhnoy, Eugene Brevdo, Shannon M. Hughes, Ingrid Daubechies, Jia Li, Eric O. Postma, James Z. Wang