Eugene Brevdo

According to our database, Eugene Brevdo authored at least 20 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

The Next 700 ML-Enabled Compiler Optimizations.

S. VenkataKeerthy, Siddharth Jain, Umesh Kalvakuntla, Pranav Sai Gorantla, Rajiv Shailesh Chitale, Eugene Brevdo, Albert Cohen, Mircea Trofin, Ramakrishna Upadrasta

Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction, 2024

2023

Kepler: Robust Learning for Parametric Query Optimization.

Lyric Doshi, Vincent Zhuang, Gaurav Jain, Ryan Marcus, Haoyu Huang, Deniz Altinbüken, Eugene Brevdo, Campbell Fraser

Proc. ACM Manag. Data, 2023

Kepler: Robust Learning for Faster Parametric Query Optimization.

Lyric Doshi, Vincent Zhuang, Gaurav Jain, Ryan Marcus, Haoyu Huang, Deniz Altinbüken, Eugene Brevdo, Campbell Fraser

CoRR, 2023

HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network.

Zhenyu Song, Kevin Chen, Nuikhil Sarda, Deniz Altinbüken, Eugene Brevdo, Jimmy Coleman, Xiao Ju, Pawel Jurczyk, Richard Schooler, Ramki Gummadi

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022

A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules.

Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

Differentiable Architecture Search for Reinforcement Learning.

Yingjie Miao, Xingyou Song, John D. Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

RL-DARTS: Differentiable Architecture Search for Reinforcement Learning.

Yingjie Miao, Xingyou Song, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust

CoRR, 2021

Reverb: A Framework For Experience Replay.

Albin Cassirer, Gabriel Barth-Maron, Eugene Brevdo, Sabela Ramos, Toby Boyd, Thibault Sottiaux, Manuel Kroiss

CoRR, 2021

MLGO: a Machine Learning Guided Compiler Optimizations Framework.

Mircea Trofin, Yundi Qian, Eugene Brevdo, Zinan Lin, Krzysztof Choromanski, David Li

CoRR, 2021

2018

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion.

Jacob Buckman, Danijar Hafner, George Tucker, Eugene Brevdo, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dynamic control flow in large-scale machine learning.

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

Proceedings of the Thirteenth EuroSys Conference, 2018

Tensor2Tensor for Neural Machine Translation.

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

Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018

2017

TensorFlow Distributions.

Joshua V. Dillon, Ian Langmore, Dustin Tran, Eugene Brevdo, Srinivas Vasudevan, Dave Moore, Brian Patton, Alex Alemi, Matthew D. Hoffman, Rif A. Saurous

CoRR, 2017

Deep Probabilistic Programming.

Dustin Tran, Matthew D. Hoffman, Rif A. Saurous, Eugene Brevdo, Kevin Murphy, David M. Blei

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

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

CoRR, 2016

2013

The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications.

Gaurav Thakur, Eugene Brevdo, Neven S. Fuckar, Hau-Tieng Wu

Signal Process., 2013

2011

The Synchrosqueezing algorithm: a robust analysis tool for signals with time-varying spectrum

Eugene Brevdo, Neven S. Fuckar, Gaurav Thakur, Hau-Tieng Wu

CoRR, 2011

2010

Bridge detection and robust geodesics estimation via random walks.

Eugene Brevdo, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Stylistic analysis of paintings usingwavelets and machine learning.

Sina Jafarpour, Gungor Polatkan, Eugene Brevdo, Shannon M. Hughes, Andrei Brasoveanu, Ingrid Daubechies

Proceedings of the 17th European Signal Processing Conference, 2009

2008

Image processing for artist identification.

C. Richard Johnson Jr., Ella Hendriks, Igor J. Berezhnoy, Eugene Brevdo, Shannon M. Hughes, Ingrid Daubechies, Jia Li, Eric O. Postma, James Z. Wang

IEEE Signal Process. Mag., 2008