BibTeX records: Benoit Steiner

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@inproceedings{DBLP:conf/cpaior/HuangFTDS23,
  author       = {Taoan Huang and
                  Aaron M. Ferber and
                  Yuandong Tian and
                  Bistra Dilkina and
                  Benoit Steiner},
  editor       = {Andr{\'{e}} A. Cir{\'{e}}},
  title        = {Local Branching Relaxation Heuristics for Integer Linear Programs},
  booktitle    = {Integration of Constraint Programming, Artificial Intelligence, and
                  Operations Research - 20th International Conference, {CPAIOR} 2023,
                  Nice, France, May 29 - June 1, 2023, Proceedings},
  series       = {Lecture Notes in Computer Science},
  volume       = {13884},
  pages        = {96--113},
  publisher    = {Springer},
  year         = {2023},
  url          = {https://doi.org/10.1007/978-3-031-33271-5\_7},
  doi          = {10.1007/978-3-031-33271-5\_7},
  timestamp    = {Fri, 02 Jun 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/cpaior/HuangFTDS23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/FerberHZSSDT23,
  author       = {Aaron M. Ferber and
                  Taoan Huang and
                  Daochen Zha and
                  Martin Schubert and
                  Benoit Steiner and
                  Bistra Dilkina and
                  Yuandong Tian},
  editor       = {Andreas Krause and
                  Emma Brunskill and
                  Kyunghyun Cho and
                  Barbara Engelhardt and
                  Sivan Sabato and
                  Jonathan Scarlett},
  title        = {SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization
                  Problems},
  booktitle    = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
                  2023, Honolulu, Hawaii, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {202},
  pages        = {10034--10052},
  publisher    = {{PMLR}},
  year         = {2023},
  url          = {https://proceedings.mlr.press/v202/ferber23a.html},
  timestamp    = {Mon, 28 Aug 2023 17:23:08 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/FerberHZSSDT23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/HuangFTDS23,
  author       = {Taoan Huang and
                  Aaron M. Ferber and
                  Yuandong Tian and
                  Bistra Dilkina and
                  Benoit Steiner},
  editor       = {Andreas Krause and
                  Emma Brunskill and
                  Kyunghyun Cho and
                  Barbara Engelhardt and
                  Sivan Sabato and
                  Jonathan Scarlett},
  title        = {Searching Large Neighborhoods for Integer Linear Programs with Contrastive
                  Learning},
  booktitle    = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
                  2023, Honolulu, Hawaii, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {202},
  pages        = {13869--13890},
  publisher    = {{PMLR}},
  year         = {2023},
  url          = {https://proceedings.mlr.press/v202/huang23g.html},
  timestamp    = {Mon, 28 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/HuangFTDS23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/LiangSSCEGSYXLT23,
  author       = {Youwei Liang and
                  Kevin Stone and
                  Ali Shameli and
                  Chris Cummins and
                  Mostafa Elhoushi and
                  Jiadong Guo and
                  Benoit Steiner and
                  Xiaomeng Yang and
                  Pengtao Xie and
                  Hugh James Leather and
                  Yuandong Tian},
  editor       = {Andreas Krause and
                  Emma Brunskill and
                  Kyunghyun Cho and
                  Barbara Engelhardt and
                  Sivan Sabato and
                  Jonathan Scarlett},
  title        = {Learning Compiler Pass Orders using Coreset and Normalized Value Prediction},
  booktitle    = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
                  2023, Honolulu, Hawaii, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {202},
  pages        = {20746--20762},
  publisher    = {{PMLR}},
  year         = {2023},
  url          = {https://proceedings.mlr.press/v202/liang23f.html},
  timestamp    = {Mon, 28 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/LiangSSCEGSYXLT23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/SteinerEKH23,
  author       = {Benoit Steiner and
                  Mostafa Elhoushi and
                  Jacob Kahn and
                  James Hegarty},
  editor       = {Andreas Krause and
                  Emma Brunskill and
                  Kyunghyun Cho and
                  Barbara Engelhardt and
                  Sivan Sabato and
                  Jonathan Scarlett},
  title        = {MODeL: Memory Optimizations for Deep Learning},
  booktitle    = {International Conference on Machine Learning, {ICML} 2023, 23-29 July
                  2023, Honolulu, Hawaii, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {202},
  pages        = {32618--32632},
  publisher    = {{PMLR}},
  year         = {2023},
  url          = {https://proceedings.mlr.press/v202/steiner23a.html},
  timestamp    = {Mon, 28 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/SteinerEKH23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2301-05104,
  author       = {Youwei Liang and
                  Kevin Stone and
                  Ali Shameli and
                  Chris Cummins and
                  Mostafa Elhoushi and
                  Jiadong Guo and
                  Benoit Steiner and
                  Xiaomeng Yang and
                  Pengtao Xie and
                  Hugh Leather and
                  Yuandong Tian},
  title        = {Learning Compiler Pass Orders using Coreset and Normalized Value Prediction},
  journal      = {CoRR},
  volume       = {abs/2301.05104},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2301.05104},
  doi          = {10.48550/ARXIV.2301.05104},
  eprinttype    = {arXiv},
  eprint       = {2301.05104},
  timestamp    = {Tue, 31 Jan 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2301-05104.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2302-01578,
  author       = {Taoan Huang and
                  Aaron M. Ferber and
                  Yuandong Tian and
                  Bistra Dilkina and
                  Benoit Steiner},
  title        = {Searching Large Neighborhoods for Integer Linear Programs with Contrastive
                  Learning},
  journal      = {CoRR},
  volume       = {abs/2302.01578},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2302.01578},
  doi          = {10.48550/ARXIV.2302.01578},
  eprinttype    = {arXiv},
  eprint       = {2302.01578},
  timestamp    = {Thu, 09 Feb 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2302-01578.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2307-13702,
  author       = {Tamera Lanham and
                  Anna Chen and
                  Ansh Radhakrishnan and
                  Benoit Steiner and
                  Carson Denison and
                  Danny Hernandez and
                  Dustin Li and
                  Esin Durmus and
                  Evan Hubinger and
                  Jackson Kernion and
                  Kamile Lukosiute and
                  Karina Nguyen and
                  Newton Cheng and
                  Nicholas Joseph and
                  Nicholas Schiefer and
                  Oliver Rausch and
                  Robin Larson and
                  Sam McCandlish and
                  Sandipan Kundu and
                  Saurav Kadavath and
                  Shannon Yang and
                  Thomas Henighan and
                  Timothy Maxwell and
                  Timothy Telleen{-}Lawton and
                  Tristan Hume and
                  Zac Hatfield{-}Dodds and
                  Jared Kaplan and
                  Jan Brauner and
                  Samuel R. Bowman and
                  Ethan Perez},
  title        = {Measuring Faithfulness in Chain-of-Thought Reasoning},
  journal      = {CoRR},
  volume       = {abs/2307.13702},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2307.13702},
  doi          = {10.48550/ARXIV.2307.13702},
  eprinttype    = {arXiv},
  eprint       = {2307.13702},
  timestamp    = {Wed, 02 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2307-13702.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2308-03296,
  author       = {Roger B. Grosse and
                  Juhan Bae and
                  Cem Anil and
                  Nelson Elhage and
                  Alex Tamkin and
                  Amirhossein Tajdini and
                  Benoit Steiner and
                  Dustin Li and
                  Esin Durmus and
                  Ethan Perez and
                  Evan Hubinger and
                  Kamile Lukosiute and
                  Karina Nguyen and
                  Nicholas Joseph and
                  Sam McCandlish and
                  Jared Kaplan and
                  Samuel R. Bowman},
  title        = {Studying Large Language Model Generalization with Influence Functions},
  journal      = {CoRR},
  volume       = {abs/2308.03296},
  year         = {2023},
  url          = {https://doi.org/10.48550/arXiv.2308.03296},
  doi          = {10.48550/ARXIV.2308.03296},
  eprinttype    = {arXiv},
  eprint       = {2308.03296},
  timestamp    = {Tue, 22 Aug 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2308-03296.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/cgo/CumminsWGCAGJLT22,
  author       = {Chris Cummins and
                  Bram Wasti and
                  Jiadong Guo and
                  Brandon Cui and
                  Jason Ansel and
                  Sahir Gomez and
                  Somya Jain and
                  Jia Liu and
                  Olivier Teytaud and
                  Benoit Steiner and
                  Yuandong Tian and
                  Hugh Leather},
  editor       = {Jae W. Lee and
                  Sebastian Hack and
                  Tatiana Shpeisman},
  title        = {CompilerGym: Robust, Performant Compiler Optimization Environments
                  for {AI} Research},
  booktitle    = {{IEEE/ACM} International Symposium on Code Generation and Optimization,
                  {CGO} 2022, Seoul, Korea, Republic of, April 2-6, 2022},
  pages        = {92--105},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/CGO53902.2022.9741258},
  doi          = {10.1109/CGO53902.2022.9741258},
  timestamp    = {Fri, 01 Apr 2022 09:22:54 +0200},
  biburl       = {https://dblp.org/rec/conf/cgo/CumminsWGCAGJLT22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KahnPLXHCT0GASL22,
  author       = {Jacob D. Kahn and
                  Vineel Pratap and
                  Tatiana Likhomanenko and
                  Qiantong Xu and
                  Awni Y. Hannun and
                  Jeff Cai and
                  Paden Tomasello and
                  Ann Lee and
                  Edouard Grave and
                  Gilad Avidov and
                  Benoit Steiner and
                  Vitaliy Liptchinsky and
                  Gabriel Synnaeve and
                  Ronan Collobert},
  editor       = {Kamalika Chaudhuri and
                  Stefanie Jegelka and
                  Le Song and
                  Csaba Szepesv{\'{a}}ri and
                  Gang Niu and
                  Sivan Sabato},
  title        = {Flashlight: Enabling Innovation in Tools for Machine Learning},
  booktitle    = {International Conference on Machine Learning, {ICML} 2022, 17-23 July
                  2022, Baltimore, Maryland, {USA}},
  series       = {Proceedings of Machine Learning Research},
  volume       = {162},
  pages        = {10557--10574},
  publisher    = {{PMLR}},
  year         = {2022},
  url          = {https://proceedings.mlr.press/v162/kahn22a.html},
  timestamp    = {Tue, 12 Jul 2022 17:36:52 +0200},
  biburl       = {https://dblp.org/rec/conf/icml/KahnPLXHCT0GASL22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/pldi/SinghHLS22,
  author       = {Shikhar Singh and
                  James Hegarty and
                  Hugh Leather and
                  Benoit Steiner},
  editor       = {Swarat Chaudhuri and
                  Charles Sutton},
  title        = {A graph neural network-based performance model for deep learning applications},
  booktitle    = {MAPS@PLDI 2022: 6th {ACM} {SIGPLAN} International Symposium on Machine
                  Programming, San Diego, CA, USA, 13 June 2022},
  pages        = {11--20},
  publisher    = {{ACM}},
  year         = {2022},
  url          = {https://doi.org/10.1145/3520312.3534863},
  doi          = {10.1145/3520312.3534863},
  timestamp    = {Wed, 29 Jun 2022 12:22:44 +0200},
  biburl       = {https://dblp.org/rec/conf/pldi/SinghHLS22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-12465,
  author       = {Jacob Kahn and
                  Vineel Pratap and
                  Tatiana Likhomanenko and
                  Qiantong Xu and
                  Awni Y. Hannun and
                  Jeff Cai and
                  Paden Tomasello and
                  Ann Lee and
                  Edouard Grave and
                  Gilad Avidov and
                  Benoit Steiner and
                  Vitaliy Liptchinsky and
                  Gabriel Synnaeve and
                  Ronan Collobert},
  title        = {Flashlight: Enabling Innovation in Tools for Machine Learning},
  journal      = {CoRR},
  volume       = {abs/2201.12465},
  year         = {2022},
  url          = {https://arxiv.org/abs/2201.12465},
  eprinttype    = {arXiv},
  eprint       = {2201.12465},
  timestamp    = {Tue, 05 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2201-12465.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2205-00618,
  author       = {Bram Wasti and
                  Jos{\'{e}} Pablo Cambronero and
                  Benoit Steiner and
                  Hugh Leather and
                  Aleksandar Zlateski},
  title        = {LoopStack: a Lightweight Tensor Algebra Compiler Stack},
  journal      = {CoRR},
  volume       = {abs/2205.00618},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2205.00618},
  doi          = {10.48550/ARXIV.2205.00618},
  eprinttype    = {arXiv},
  eprint       = {2205.00618},
  timestamp    = {Tue, 03 May 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2205-00618.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-12547,
  author       = {Aaron M. Ferber and
                  Taoan Huang and
                  Daochen Zha and
                  Martin Schubert and
                  Benoit Steiner and
                  Bistra Dilkina and
                  Yuandong Tian},
  title        = {SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization
                  Problems},
  journal      = {CoRR},
  volume       = {abs/2210.12547},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2210.12547},
  doi          = {10.48550/ARXIV.2210.12547},
  eprinttype    = {arXiv},
  eprint       = {2210.12547},
  timestamp    = {Fri, 28 Oct 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2210-12547.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2210-12924,
  author       = {Benoit Steiner and
                  Mostafa Elhoushi and
                  Jacob Kahn and
                  James Hegarty},
  title        = {{OLLA:} Decreasing the Memory Usage of Neural Networks by Optimizing
                  the Lifetime and Location of Arrays},
  journal      = {CoRR},
  volume       = {abs/2210.12924},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2210.12924},
  doi          = {10.48550/ARXIV.2210.12924},
  eprinttype    = {arXiv},
  eprint       = {2210.12924},
  timestamp    = {Fri, 28 Oct 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2210-12924.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2212-08183,
  author       = {Taoan Huang and
                  Aaron M. Ferber and
                  Yuandong Tian and
                  Bistra Dilkina and
                  Benoit Steiner},
  title        = {Local Branching Relaxation Heuristics for Integer Linear Programs},
  journal      = {CoRR},
  volume       = {abs/2212.08183},
  year         = {2022},
  url          = {https://doi.org/10.48550/arXiv.2212.08183},
  doi          = {10.48550/ARXIV.2212.08183},
  eprinttype    = {arXiv},
  eprint       = {2212.08183},
  timestamp    = {Mon, 02 Jan 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2212-08183.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mlsys/SteinerCHL21,
  author       = {Benoit Steiner and
                  Chris Cummins and
                  Horace He and
                  Hugh Leather},
  editor       = {Alex Smola and
                  Alex Dimakis and
                  Ion Stoica},
  title        = {Value Learning for Throughput Optimization of Deep Learning Workloads},
  booktitle    = {Proceedings of Machine Learning and Systems 2021, MLSys 2021, virtual,
                  April 5-9, 2021},
  publisher    = {mlsys.org},
  year         = {2021},
  url          = {https://proceedings.mlsys.org/paper/2021/hash/73278a4a86960eeb576a8fd4c9ec6997-Abstract.html},
  timestamp    = {Mon, 23 May 2022 11:55:02 +0200},
  biburl       = {https://dblp.org/rec/conf/mlsys/SteinerCHL21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/YangZCCSWGKT21,
  author       = {Kevin Yang and
                  Tianjun Zhang and
                  Chris Cummins and
                  Brandon Cui and
                  Benoit Steiner and
                  Linnan Wang and
                  Joseph E. Gonzalez and
                  Dan Klein and
                  Yuandong Tian},
  editor       = {Marc'Aurelio Ranzato and
                  Alina Beygelzimer and
                  Yann N. Dauphin and
                  Percy Liang and
                  Jennifer Wortman Vaughan},
  title        = {Learning Space Partitions for Path Planning},
  booktitle    = {Advances in Neural Information Processing Systems 34: Annual Conference
                  on Neural Information Processing Systems 2021, NeurIPS 2021, December
                  6-14, 2021, virtual},
  pages        = {378--391},
  year         = {2021},
  url          = {https://proceedings.neurips.cc/paper/2021/hash/03a3655fff3e9bdea48de9f49e938e32-Abstract.html},
  timestamp    = {Tue, 03 May 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/YangZCCSWGKT21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-10544,
  author       = {Kevin Yang and
                  Tianjun Zhang and
                  Chris Cummins and
                  Brandon Cui and
                  Benoit Steiner and
                  Linnan Wang and
                  Joseph E. Gonzalez and
                  Dan Klein and
                  Yuandong Tian},
  title        = {Learning Space Partitions for Path Planning},
  journal      = {CoRR},
  volume       = {abs/2106.10544},
  year         = {2021},
  url          = {https://arxiv.org/abs/2106.10544},
  eprinttype    = {arXiv},
  eprint       = {2106.10544},
  timestamp    = {Tue, 29 Jun 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2106-10544.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2108-12489,
  author       = {Shikhar Singh and
                  Benoit Steiner and
                  James Hegarty and
                  Hugh Leather},
  title        = {Using Graph Neural Networks to model the performance of Deep Neural
                  Networks},
  journal      = {CoRR},
  volume       = {abs/2108.12489},
  year         = {2021},
  url          = {https://arxiv.org/abs/2108.12489},
  eprinttype    = {arXiv},
  eprint       = {2108.12489},
  timestamp    = {Thu, 02 Sep 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2108-12489.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2109-08267,
  author       = {Chris Cummins and
                  Bram Wasti and
                  Jiadong Guo and
                  Brandon Cui and
                  Jason Ansel and
                  Sahir Gomez and
                  Somya Jain and
                  Jia Liu and
                  Olivier Teytaud and
                  Benoit Steiner and
                  Yuandong Tian and
                  Hugh Leather},
  title        = {CompilerGym: Robust, Performant Compiler Optimization Environments
                  for {AI} Research},
  journal      = {CoRR},
  volume       = {abs/2109.08267},
  year         = {2021},
  url          = {https://arxiv.org/abs/2109.08267},
  eprinttype    = {arXiv},
  eprint       = {2109.08267},
  timestamp    = {Wed, 22 Sep 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2109-08267.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2011-14486,
  author       = {Benoit Steiner and
                  Chris Cummins and
                  Horace He and
                  Hugh Leather},
  title        = {Value Function Based Performance Optimization of Deep Learning Workloads},
  journal      = {CoRR},
  volume       = {abs/2011.14486},
  year         = {2020},
  url          = {https://arxiv.org/abs/2011.14486},
  eprinttype    = {arXiv},
  eprint       = {2011.14486},
  timestamp    = {Tue, 01 Dec 2020 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2011-14486.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/tog/AdamsMABLGSJFDR19,
  author       = {Andrew Adams and
                  Karima Ma and
                  Luke Anderson and
                  Riyadh Baghdadi and
                  Tzu{-}Mao Li and
                  Micha{\"{e}}l Gharbi and
                  Benoit Steiner and
                  Steven Johnson and
                  Kayvon Fatahalian and
                  Fr{\'{e}}do Durand and
                  Jonathan Ragan{-}Kelley},
  title        = {Learning to optimize halide with tree search and random programs},
  journal      = {{ACM} Trans. Graph.},
  volume       = {38},
  number       = {4},
  pages        = {121:1--121:12},
  year         = {2019},
  url          = {https://doi.org/10.1145/3306346.3322967},
  doi          = {10.1145/3306346.3322967},
  timestamp    = {Wed, 12 Aug 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/tog/AdamsMABLGSJFDR19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/PaszkeGMLBCKLGA19,
  author       = {Adam Paszke and
                  Sam Gross and
                  Francisco Massa and
                  Adam Lerer and
                  James Bradbury and
                  Gregory Chanan and
                  Trevor Killeen and
                  Zeming Lin and
                  Natalia Gimelshein and
                  Luca Antiga and
                  Alban Desmaison and
                  Andreas K{\"{o}}pf and
                  Edward Z. Yang and
                  Zachary DeVito and
                  Martin Raison and
                  Alykhan Tejani and
                  Sasank Chilamkurthy and
                  Benoit Steiner and
                  Lu Fang and
                  Junjie Bai and
                  Soumith Chintala},
  editor       = {Hanna M. Wallach and
                  Hugo Larochelle and
                  Alina Beygelzimer and
                  Florence d'Alch{\'{e}}{-}Buc and
                  Emily B. Fox and
                  Roman Garnett},
  title        = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
  booktitle    = {Advances in Neural Information Processing Systems 32: Annual Conference
                  on Neural Information Processing Systems 2019, NeurIPS 2019, December
                  8-14, 2019, Vancouver, BC, Canada},
  pages        = {8024--8035},
  year         = {2019},
  url          = {https://proceedings.neurips.cc/paper/2019/hash/bdbca288fee7f92f2bfa9f7012727740-Abstract.html},
  timestamp    = {Mon, 16 May 2022 15:41:51 +0200},
  biburl       = {https://dblp.org/rec/conf/nips/PaszkeGMLBCKLGA19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1912-01703,
  author       = {Adam Paszke and
                  Sam Gross and
                  Francisco Massa and
                  Adam Lerer and
                  James Bradbury and
                  Gregory Chanan and
                  Trevor Killeen and
                  Zeming Lin and
                  Natalia Gimelshein and
                  Luca Antiga and
                  Alban Desmaison and
                  Andreas K{\"{o}}pf and
                  Edward Z. Yang and
                  Zach DeVito and
                  Martin Raison and
                  Alykhan Tejani and
                  Sasank Chilamkurthy and
                  Benoit Steiner and
                  Lu Fang and
                  Junjie Bai and
                  Soumith Chintala},
  title        = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
  journal      = {CoRR},
  volume       = {abs/1912.01703},
  year         = {2019},
  url          = {http://arxiv.org/abs/1912.01703},
  eprinttype    = {arXiv},
  eprint       = {1912.01703},
  timestamp    = {Tue, 02 Nov 2021 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1912-01703.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/iclr/MirhoseiniGPSLD18,
  author       = {Azalia Mirhoseini and
                  Anna Goldie and
                  Hieu Pham and
                  Benoit Steiner and
                  Quoc V. Le and
                  Jeff Dean},
  title        = {A Hierarchical Model for Device Placement},
  booktitle    = {6th International Conference on Learning Representations, {ICLR} 2018,
                  Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings},
  publisher    = {OpenReview.net},
  year         = {2018},
  url          = {https://openreview.net/forum?id=Hkc-TeZ0W},
  timestamp    = {Thu, 11 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/iclr/MirhoseiniGPSLD18.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/MirhoseiniPLSLZ17,
  author       = {Azalia Mirhoseini and
                  Hieu Pham and
                  Quoc V. Le and
                  Benoit Steiner and
                  Rasmus Larsen and
                  Yuefeng Zhou and
                  Naveen Kumar and
                  Mohammad Norouzi and
                  Samy Bengio and
                  Jeff Dean},
  editor       = {Doina Precup and
                  Yee Whye Teh},
  title        = {Device Placement Optimization with Reinforcement Learning},
  booktitle    = {Proceedings of the 34th International Conference on Machine Learning,
                  {ICML} 2017, Sydney, NSW, Australia, 6-11 August 2017},
  series       = {Proceedings of Machine Learning Research},
  volume       = {70},
  pages        = {2430--2439},
  publisher    = {{PMLR}},
  year         = {2017},
  url          = {http://proceedings.mlr.press/v70/mirhoseini17a.html},
  timestamp    = {Thu, 11 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/icml/MirhoseiniPLSLZ17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/MirhoseiniPLSLZ17,
  author       = {Azalia Mirhoseini and
                  Hieu Pham and
                  Quoc V. Le and
                  Benoit Steiner and
                  Rasmus Larsen and
                  Yuefeng Zhou and
                  Naveen Kumar and
                  Mohammad Norouzi and
                  Samy Bengio and
                  Jeff Dean},
  title        = {Device Placement Optimization with Reinforcement Learning},
  journal      = {CoRR},
  volume       = {abs/1706.04972},
  year         = {2017},
  url          = {http://arxiv.org/abs/1706.04972},
  eprinttype    = {arXiv},
  eprint       = {1706.04972},
  timestamp    = {Thu, 11 Jan 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/MirhoseiniPLSLZ17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/osdi/AbadiBCCDDDGIIK16,
  author       = {Mart{\'{\i}}n Abadi and
                  Paul Barham and
                  Jianmin Chen and
                  Zhifeng Chen and
                  Andy Davis and
                  Jeffrey Dean and
                  Matthieu Devin and
                  Sanjay Ghemawat and
                  Geoffrey Irving and
                  Michael Isard and
                  Manjunath Kudlur and
                  Josh Levenberg and
                  Rajat Monga and
                  Sherry Moore and
                  Derek Gordon Murray and
                  Benoit Steiner and
                  Paul A. Tucker and
                  Vijay Vasudevan and
                  Pete Warden and
                  Martin Wicke and
                  Yuan Yu and
                  Xiaoqiang Zheng},
  editor       = {Kimberly Keeton and
                  Timothy Roscoe},
  title        = {TensorFlow: {A} System for Large-Scale Machine Learning},
  booktitle    = {12th {USENIX} Symposium on Operating Systems Design and Implementation,
                  {OSDI} 2016, Savannah, GA, USA, November 2-4, 2016},
  pages        = {265--283},
  publisher    = {{USENIX} Association},
  year         = {2016},
  url          = {https://www.usenix.org/conference/osdi16/technical-sessions/presentation/abadi},
  timestamp    = {Tue, 02 Feb 2021 08:06:02 +0100},
  biburl       = {https://dblp.org/rec/conf/osdi/AbadiBCCDDDGIIK16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/AbadiABBCCCDDDG16,
  author       = {Mart{\'{\i}}n Abadi and
                  Ashish Agarwal and
                  Paul Barham and
                  Eugene Brevdo and
                  Zhifeng Chen and
                  Craig Citro and
                  Gregory S. Corrado and
                  Andy Davis and
                  Jeffrey Dean and
                  Matthieu Devin and
                  Sanjay Ghemawat and
                  Ian J. Goodfellow and
                  Andrew Harp and
                  Geoffrey Irving and
                  Michael Isard and
                  Yangqing Jia and
                  Rafal J{\'{o}}zefowicz and
                  Lukasz Kaiser and
                  Manjunath Kudlur and
                  Josh Levenberg and
                  Dan Man{\'{e}} and
                  Rajat Monga and
                  Sherry Moore and
                  Derek Gordon Murray and
                  Chris Olah and
                  Mike Schuster and
                  Jonathon Shlens and
                  Benoit Steiner and
                  Ilya Sutskever and
                  Kunal Talwar and
                  Paul A. Tucker and
                  Vincent Vanhoucke and
                  Vijay Vasudevan and
                  Fernanda B. Vi{\'{e}}gas and
                  Oriol Vinyals and
                  Pete Warden and
                  Martin Wattenberg and
                  Martin Wicke and
                  Yuan Yu and
                  Xiaoqiang Zheng},
  title        = {TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
                  Systems},
  journal      = {CoRR},
  volume       = {abs/1603.04467},
  year         = {2016},
  url          = {http://arxiv.org/abs/1603.04467},
  eprinttype    = {arXiv},
  eprint       = {1603.04467},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/AbadiABBCCCDDDG16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/AbadiBCCDDDGIIK16,
  author       = {Mart{\'{\i}}n Abadi and
                  Paul Barham and
                  Jianmin Chen and
                  Zhifeng Chen and
                  Andy Davis and
                  Jeffrey Dean and
                  Matthieu Devin and
                  Sanjay Ghemawat and
                  Geoffrey Irving and
                  Michael Isard and
                  Manjunath Kudlur and
                  Josh Levenberg and
                  Rajat Monga and
                  Sherry Moore and
                  Derek Gordon Murray and
                  Benoit Steiner and
                  Paul A. Tucker and
                  Vijay Vasudevan and
                  Pete Warden and
                  Martin Wicke and
                  Yuan Yu and
                  Xiaoqiang Zhang},
  title        = {TensorFlow: {A} system for large-scale machine learning},
  journal      = {CoRR},
  volume       = {abs/1605.08695},
  year         = {2016},
  url          = {http://arxiv.org/abs/1605.08695},
  eprinttype    = {arXiv},
  eprint       = {1605.08695},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/AbadiBCCDDDGIIK16.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
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