--- title: "Peter D. Bailis — author profile and papers — Elamur Research" description: "Peter D. Bailis: 2 papers on Elamur Research (2023–2024), h-index 36 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/peter-d-bailis/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/peter-d-bailis/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Peter D. Bailis # Peter D. Bailis Peter D. Bailis has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/), [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/), [Alvin Cheung](https://md.research.elamur.ai/free/en/authors/alvin-cheung/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5002538469) · [ORCID](https://orcid.org/0000-0003-1166-7823) · [Wikidata](https://www.wikidata.org/wiki/Q97099786) · [**h-index 36**](https://openalex.org/authors/A5002538469) · [156 works](https://openalex.org/works?filter=author.id:A5002538469) · [4,196 citations](https://openalex.org/works?filter=author.id:A5002538469&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/peter-d-bailis/#papers) · [🔗 Cited 310 times in our library](https://md.research.elamur.ai/free/en/authors/peter-d-bailis/cited-by/) · [25 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6704](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6704) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Peter+D.+Bailis) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Peter+D.+Bailis) · [dblp](https://dblp.org/search?q=Peter+D.+Bailis) · [ACL Anthology](https://aclanthology.org/search/?q=Peter+D.+Bailis) ## Affiliations [🎓**Stanford University** Stanford · United States 2016–2025 · 70 papersEmployment](https://md.research.elamur.ai/free/en/universities/stanford-university/) · [🎓**University of California, Berkeley** Berkeley · United States 2011–2015 · 22 papersEducation](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Sisu Data** San Francisco · United States 2021–2022 · 3 papers](https://ror.org/0506jd168) · [🏢**Microsoft** Redmond · United States 2018–2020 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Harvard University** Cambridge · United States 2010–2011 · 2 papers](https://md.research.elamur.ai/free/en/universities/harvard-university/) 🏛️**Harvard College** Cambridge · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) Education From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/peter-d-bailis/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/peter-d-bailis/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Break the Sequential Dependency of LLM Inference Using Lookahead Decoding](https://md.research.elamur.ai/free/en/papers/fu-2024-break-sequential-dependency-llm-inference/)** *(2024 · 114 citations)* Generating text with LLMs one token at a time is slow. Each step is limited by memory bandwidth, so most of the GPU's compute sits idle. Speculative decoding helps, but it needs a draft model, which is hard to train and often fails to transfer across base models or datasets. The authors propose Lookahead Decoding… 2. **[Online Speculative Decoding](https://md.research.elamur.ai/free/en/papers/liu-2023-online-speculative-decoding/)** *(2023 · 65 citations)* Speculative decoding speeds up LLM inference by having a small draft model propose tokens that a large target model checks in parallel. ## All works 27 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Bolt-on causal consistency ↗](https://doi.org/10.1145/2463676.2465279) Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yet**Peter D. Bailis et al.*2013 · 215 citations* 2. **[Highly available transactions ↗](https://doi.org/10.14778/2732232.2732237) Proceedings of the VLDB Endowment · no summary yet**Peter D. Bailis et al.*2013 · 204 citations* 3. **[Coordination avoidance in database systems ↗](https://doi.org/10.14778/2735508.2735509) Proceedings of the VLDB Endowment · no summary yet**Peter D. Bailis et al.*2014 · 191 citations* 4. **[Probabilistically bounded staleness for practical partial quorums ↗](https://doi.org/10.14778/2212351.2212359) Proceedings of the VLDB Endowment · no summary yet**Peter D. Bailis et al.*2012 · 185 citations* 5. **[Selection via Proxy: Efficient Data Selection for Deep Learning ↗](https://arxiv.org/abs/1906.11829) arXiv (Cornell University) · no summary yet**Cody Coleman et al.*2019 · 148 citations* 6. [**Break the Sequential Dependency of LLM Inference Using Lookahead Decoding arXiv:2402.02057**Yichao Fu, Peter Bailis, Ion Stoica, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/fu-2024-break-sequential-dependency-llm-inference/) 7. **[Scalable atomic visibility with RAMP transactions ↗](https://doi.org/10.1145/2588555.2588562) Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yet**Peter D. Bailis et al.*2014 · 95 citations* 8. **[The potential dangers of causal consistency and an explicit solution ↗](https://doi.org/10.1145/2391229.2391251) ACM Symposium on Cloud Computing (SoCC) · no summary yet**Peter D. Bailis et al.*2012 · 79 citations* 9. **[Feral Concurrency Control ↗](https://doi.org/10.1145/2723372.2737784) Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yet**Peter D. Bailis et al.*2015 · 72 citations* 10. [**Online Speculative Decoding arXiv:2310.07177**Xiaoxuan Liu, Lanxiang Hu, Peter Bailis, et al.*2023 · 65 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-online-speculative-decoding/) 11. **[Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems ↗](https://arxiv.org/abs/2403.02419) arXiv (Cornell University) · no summary yet**Lingjiao Chen et al.*2024 · 46 citations* 12. **[Quantifying eventual consistency with PBS ↗](https://doi.org/10.1007/s00778-013-0330-1) The VLDB Journal · no summary yet**Peter D. Bailis et al.*2013 · 46 citations* 13. **[Scalable Atomic Visibility with RAMP Transactions ↗](https://doi.org/10.1145/2909870) ACM Transactions on Database Systems · no summary yet**Peter D. Bailis et al.*2016 · 39 citations* 14. **[Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems ↗](https://doi.org/10.52202/079017-1455) neural information processing systems · no summary yet**Lingjiao Chen et al.*2024 · 27 citations* 15. **[MLSys: The New Frontier of Machine Learning Systems ↗](https://arxiv.org/abs/1904.03257) arXiv (Cornell University) · no summary yet**Alexander Ratner et al.*2019 · 19 citations* 16. **[TAOBench ↗](https://doi.org/10.14778/3538598.3538616) Proceedings of the VLDB Endowment · no summary yet**Audrey Cheng et al.*2022 · 18 citations* 17. **[HAT, not CAP: towards highly available transactions ↗](https://openalex.org/W2099342989) no summary yet**Peter D. Bailis et al.*2013 · 18 citations* 18. **[RAMP-TAO ↗](https://doi.org/10.14778/3476311.3476379) Proceedings of the VLDB Endowment · no summary yet**Audrey Cheng et al.*2021 · 14 citations* 19. **[Towards Optimal Transaction Scheduling ↗](https://doi.org/10.14778/3681954.3681956) Proceedings of the VLDB Endowment · no summary yet**Audrey Cheng et al.*2024 · 12 citations* 20. **[Asynchronous Complex Analytics in a Distributed Dataflow Architecture ↗](https://arxiv.org/abs/1510.07092) arXiv (Cornell University) · no summary yet**Joseph E. Gonzalez et al.*2015 · 10 citations* 21. **[Highly Available Transactions: Virtues and Limitations (Extended Version) ↗](https://arxiv.org/abs/1302.0309) arXiv (Cornell University) · no summary yet**Peter D. Bailis et al.*2013 · 10 citations* 22. **[Optimizing Model Selection for Compound AI Systems ↗](https://arxiv.org/abs/2502.14815) arXiv (Cornell University) · no summary yet**Lingjiao Chen et al.*2025 · 9 citations* 23. **[PBS at work ↗](https://doi.org/10.1145/2463676.2465260) Proceedings - ACM-SIGMOD International Conference on Management of Data · no summary yet**Peter D. Bailis et al.*2013 · 9 citations* 24. **[Coordination-Avoiding Database Systems. ↗](https://arxiv.org/abs/1402.2237) arXiv (Cornell University) · no summary yet**Peter D. Bailis et al.*2014 · 3 citations* 25. **[Select Via Proxy: Efficient Data Selection For Training Deep Networks ↗](https://openalex.org/W2913111218) no summary yet**Cody Coleman et al.*2018 · 2 citations* [See all 27 works by Peter D. Bailis →](https://md.research.elamur.ai/free/en/authors/peter-d-bailis/works/) ## Co-authors here 5 co-authors with a page, the most papers together first. - [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) ×2 - [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/) ×2 - [Alvin Cheung](https://md.research.elamur.ai/free/en/authors/alvin-cheung/) - [Yichao Fu](https://md.research.elamur.ai/free/en/authors/yichao-fu/) - [Zhijie Deng](https://md.research.elamur.ai/free/en/authors/zhijie-deng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the VLDB Endowment ×7 - Proceedings - ACM-SIGMOD International Conference on Management of Data ×4 - ACM Symposium on Cloud Computing (SoCC) - ACM Transactions on Database Systems - The VLDB Journal - neural information processing systems ## Cited by Papers of our library cite their works 310 times (of the 149,439 papers whose bibliographies we read); [58 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/peter-d-bailis/cited-by/). Updated 2 November 2026