Eugene Brevdo

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 21

Top Topics

Query Optimization

Statistical Distributions

Machine Learning

Content Delivery

Top Venues

Proc. ACM Manag. Data

Publications

S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta
The Next 700 ML-Enabled Compiler Optimizations. CC (2024)
S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta
The Next 700 ML-Enabled Compiler Optimizations. CoRR (2023)
Lyric Doshi, Vincent Zhuang, Gaurav Jain, Ryan Marcus, Haoyu Huang, Deniz Altinbüken, Eugene Brevdo, Campbell Fraser
Kepler: Robust Learning for Parametric Query Optimization. Proc. ACM Manag. Data 1 (1) (2023)
Zhenyu Song, Kevin Chen, Nuikhil Sarda, Deniz Altinbüken, Eugene Brevdo, Jimmy Coleman, Xiao Ju, Pawel Jurczyk, Richard Schooler, Ramki Gummadi
HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network. NSDI (2023)
Lyric Doshi, Vincent Zhuang, Gaurav Jain, Ryan Marcus, Haoyu Huang, Deniz Altinbüken, Eugene Brevdo, Campbell Fraser
Kepler: Robust Learning for Faster Parametric Query Optimization. CoRR (2023)
Yingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
Differentiable Architecture Search for Reinforcement Learning. AutoML (2022)
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. MLSys (2022)
Mircea Trofin, Yundi Qian, Eugene Brevdo, Zinan Lin, Krzysztof Choromanski, David Li
MLGO: a Machine Learning Guided Compiler Optimizations Framework. CoRR (2021)
Albin Cassirer, Gabriel Barth-Maron, Eugene Brevdo, Sabela Ramos, Toby Boyd, Thibault Sottiaux, Manuel Kroiss
Reverb: A Framework For Experience Replay. CoRR (2021)
Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust
RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. CoRR (2021)
Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. CoRR (2021)
Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. NeurIPS (2018)
Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee
Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. CoRR (2018)
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
Dynamic Control Flow in Large-Scale Machine Learning. CoRR (2018)
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
Tensor2Tensor for Neural Machine Translation. CoRR (2018)
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
Dynamic control flow in large-scale machine learning. EuroSys (2018)
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
Tensor2Tensor for Neural Machine Translation. AMTA (1) (2018)
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei
Deep Probabilistic Programming. ICLR (Poster) (2017)
Joshua V. Dillon, Ian Langmore, Dustin Tran, Eugene Brevdo, Srinivas Vasudevan, Dave Moore, Brian Patton, Alex Alemi, Matthew D. Hoffman, Rif A. Saurous
TensorFlow Distributions. CoRR (2017)
Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei
Deep Probabilistic Programming. CoRR (2017)
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
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR (2016)
Gaurav Thakur, Eugene Brevdo, Neven S. Fuckar, Hau-Tieng Wu
The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications. Signal Process. 93 (5) (2013)
Eugene Brevdo, Neven S. Fuckar, Gaurav Thakur, Hau-Tieng Wu
The Synchrosqueezing algorithm: a robust analysis tool for signals with time-varying spectrum CoRR (2011)
Eugene Brevdo, Peter J. Ramadge
Bridge detection and robust geodesics estimation via random walks. ICASSP (2010)
Sina Jafarpour, Gungor Polatkan, Eugene Brevdo, Shannon M. Hughes, Andrei Brasoveanu, Ingrid Daubechies
Stylistic analysis of paintings usingwavelets and machine learning. EUSIPCO (2009)
C. Richard Johnson Jr., Ella Hendriks, Igor J. Berezhnoy, Eugene Brevdo, Shannon M. Hughes, Ingrid Daubechies, Jia Li, Eric O. Postma, James Z. Wang
Image processing for artist identification. IEEE Signal Process. Mag. 25 (4) (2008)