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{{AFC comment|1=References should be placed after punctuation, not before. Additionally, reference number 7 appears to have been authored by Guestrin himself, as it is indicates "modified by Carlos". Either remove this award and its associated ref, or provide reliable third-party sources to substantiate this claim. Please note that we do not accept submissions citing self-published or primary sources for awards. Also remove unsourced claims. [[User:TheBirdsShedTears|TheBirdsShedTears]] ([[User talk:TheBirdsShedTears|talk]]) 17:53, 30 November 2024 (UTC)}}
{{AFC comment|1=References should be placed after punctuation, not before. Additionally, reference number 7 appears to have been authored by Guestrin himself, as it is indicates "modified by Carlos". Either remove this award and its associated ref, or provide reliable third-party sources to substantiate this claim. Please note that we do not accept submissions citing self-published or primary sources for awards. Also remove unsourced claims. [[User:TheBirdsShedTears|TheBirdsShedTears]] ([[User talk:TheBirdsShedTears|talk]]) 17:53, 30 November 2024 (UTC)}}

{{AFC comment|1=Thank you for the feedback. I have corrected all the issues you pointed out.}}


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'''Carlos Ernesto Guestrin''' is a computer scientist and a [[professor]] at [[Stanford University]]. He is best known for his contributions to scalable machine learning algorithms.<ref>{{Cite journal |last=Chen |first=Tianqi |last2=Guestrin |first2=Carlos |date=2016-08-13 |title=XGBoost: A Scalable Tree Boosting System |url=https://dl.acm.org/doi/abs/10.1145/2939672.2939785 |journal=Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |series=KDD '16 |location=New York, NY, USA |publisher=Association for Computing Machinery |pages=785–794 |doi=10.1145/2939672.2939785 |isbn=978-1-4503-4232-2}}</ref>. He is a co-founder of [[GraphLab|Turi]] (formerly GraphLab), a machine learning startup that was acquired by [[Apple Inc.]] in 2016<ref name=":0">{{Cite web |last=Soper |first=Taylor |date=2016-08-05 |title=Exclusive: Apple acquires Turi in major exit for Seattle-based machine learning and AI startup |url=https://www.geekwire.com/2016/exclusive-apple-acquires-turi-major-exit-seattle-based-machine-learning-ai-startup/ |access-date=2024-11-30 |website=GeekWire |language=en-US}}</ref>.
'''Carlos Ernesto Guestrin''' is a computer scientist and a [[professor]] at [[Stanford University]]. He is best known for his contributions to scalable machine learning algorithms.<ref>{{Cite journal |last=Chen |first=Tianqi |last2=Guestrin |first2=Carlos |date=2016-08-13 |title=XGBoost: A Scalable Tree Boosting System |url=https://dl.acm.org/doi/abs/10.1145/2939672.2939785 |journal=Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining |series=KDD '16 |location=New York, NY, USA |publisher=Association for Computing Machinery |pages=785–794 |doi=10.1145/2939672.2939785 |isbn=978-1-4503-4232-2}}</ref>


== Biography ==
== Biography ==
Guestrin received a Mechatronics Engineer degree from the Polytechnic School of the [[University of São Paulo]],<ref>{{Cite web |title=Brasileiros da IA: Carlos Guestrin já vendeu empresa para a Apple e recebeu medalha de Obama |url=https://www.estadao.com.br/link/cultura-digital/brasileiros-da-ia-carlos-guestrin-ja-vendeu-empresa-para-a-apple-e-recebeu-medalha-de-obama/ |access-date=2024-11-30 |website=Estadão |language=pt-br}}</ref> and a Ph.D. and M.Sc. in Computer Science from [[Stanford University]], advised by [[Daphne Koller]]. Guestrin went on to work as professor at [[Carnegie Mellon University]] (2004 to 2012), the [[University of Washington]] (2012-2021), and [[Stanford University]] (Since 2021).<ref>{{Cite web |title=Carlos Guestrin {{!}} Paul G. Allen School of Computer Science & Engineering |url=https://www.cs.washington.edu/people/faculty/guestrin |access-date=2024-11-30 |website=www.cs.washington.edu}}</ref> He was a co-founder of [[GraphLab|Turi]] (formerly GraphLab), a machine learning startup that was acquired by [[Apple Inc.]] in 2016<ref name=":0" />. After selling the startup, Guestrin worked at Apple as the Senior Director of Machine Learning and AI (2016-2021).
Guestrin received a Mechatronics Engineer degree from the Polytechnic School of the [[University of São Paulo]],<ref>{{Cite web |title=Brasileiros da IA: Carlos Guestrin já vendeu empresa para a Apple e recebeu medalha de Obama |url=https://www.estadao.com.br/link/cultura-digital/brasileiros-da-ia-carlos-guestrin-ja-vendeu-empresa-para-a-apple-e-recebeu-medalha-de-obama/ |access-date=2024-11-30 |website=Estadão |language=pt-br}}</ref> and a Ph.D. in Computer Science from [[Stanford University]], advised by [[Daphne Koller]].<ref>{{Cite web |title=Planning under uncertainty in complex structured environments - ProQuest |url=https://www.proquest.com/openview/1ce611ccc585471abe1fbbe97c9d9841/1?pq-origsite=gscholar&cbl=18750&diss=y |access-date=2024-11-30 |website=www.proquest.com |language=en}}</ref> Guestrin went on to work as professor at [[Carnegie Mellon University]] (2004 to 2012), the [[University of Washington]] (2012-2021), and [[Stanford University]] (Since 2021).<ref>{{Cite web |title=Carlos Guestrin {{!}} Paul G. Allen School of Computer Science & Engineering |url=https://www.cs.washington.edu/people/faculty/guestrin |access-date=2024-11-30 |website=www.cs.washington.edu}}</ref> He was a co-founder of [[GraphLab|Turi]] (formerly GraphLab), a machine learning startup that was acquired by [[Apple Inc.]] in 2016.<ref name=":0">{{Cite web |last=Soper |first=Taylor |date=2016-08-05 |title=Exclusive: Apple acquires Turi in major exit for Seattle-based machine learning and AI startup |url=https://www.geekwire.com/2016/exclusive-apple-acquires-turi-major-exit-seattle-based-machine-learning-ai-startup/ |access-date=2024-11-30 |website=GeekWire |language=en-US}}</ref> After selling the startup, Guestrin worked at Apple as the Senior Director of Machine Learning and AI.<ref>{{Cite web |title=Carlos Ernesto Guestrin {{!}} Computer Science |url=https://www.cs.stanford.edu/people/carlos-guestrin |access-date=2024-11-30 |website=profiles.stanford.edu |language=en}}</ref>


Guestrin was involved in the creation of various popular machine learning libraries and methods, including the [[XGBoost]] library<ref>{{Cite web |date=2016-08-07 |title=Story and Lessons Behind the Evolution of XGBoost |url=https://web.archive.org/web/20160807033610/http://homes.cs.washington.edu/~tqchen/2016/03/10/story-and-lessons-behind-the-evolution-of-xgboost.html |access-date=2024-11-30 |website=web.archive.org}}</ref>, the LIME technique for [[Explainable artificial intelligence|explainable machine learning]]<ref>{{Cite web |last=Rothman |first=Denis |date=2020-10-07 |title=Exploring LIME Explanations and the Mathematics Behind It |url=https://www.codemotion.com/magazine/ai-ml/lime-explainable-ai/ |access-date=2024-11-30 |website=Codemotion Magazine |language=en-US}}</ref> and the [[GraphLab]] project for scalable machine learning.
Guestrin was involved in the creation of various popular machine learning libraries and methods, including the [[XGBoost]] library,<ref>{{Cite web |date=2016-08-07 |title=Story and Lessons Behind the Evolution of XGBoost |url=https://web.archive.org/web/20160807033610/http://homes.cs.washington.edu/~tqchen/2016/03/10/story-and-lessons-behind-the-evolution-of-xgboost.html |access-date=2024-11-30 |website=web.archive.org}}</ref> the LIME technique for [[Explainable artificial intelligence|explainable machine learning]],<ref>{{Cite web |last=Rothman |first=Denis |date=2020-10-07 |title=Exploring LIME Explanations and the Mathematics Behind It |url=https://www.codemotion.com/magazine/ai-ml/lime-explainable-ai/ |access-date=2024-11-30 |website=Codemotion Magazine |language=en-US}}</ref> and the [[GraphLab]] project for scalable machine learning.<ref>{{Citation |last=Low |first=Yucheng |title=GraphLab: A New Framework For Parallel Machine Learning |date=2014-08-09 |url=https://arxiv.org/abs/1408.2041 |access-date=2024-11-30 |doi=10.48550/arXiv.1408.2041 |last2=Gonzalez |first2=Joseph E. |last3=Kyrola |first3=Aapo |last4=Bickson |first4=Danny |last5=Guestrin |first5=Carlos E. |last6=Hellerstein |first6=Joseph}}</ref>


== Honors and Awards ==
== Honors and Awards ==
Guestin has received multiple honors and awards, including:
Guestin has received multiple honors and awards, including:


* Receiving an NSF CAREER Award, 2007<ref>{{Cite web |title=NSF Award Search: Award # 0644225 - CAREER: Thinking that is "just right": Query-Specific Probabilistic Reasoning and its Application to Large-Scale Sensor Networks |url=https://www.nsf.gov/awardsearch/showAward?AWD_ID=0644225 |access-date=2024-11-30 |website=www.nsf.gov}}</ref>
* Receiving an ONR Young Investigator Award, 2008<ref>{{Cite web |date=2022-03-18 |title=2008 Young Investigators |url=https://www.onr.navy.mil/education-outreach/sponsored-research/yip/2008-young-investigator-recipients |access-date=2024-11-30 |website=Office of Naval Research |language=en}}</ref>
* Receiving an ONR Young Investigator Award, 2008<ref>{{Cite web |date=2022-03-18 |title=2008 Young Investigators |url=https://www.onr.navy.mil/education-outreach/sponsored-research/yip/2008-young-investigator-recipients |access-date=2024-11-30 |website=Office of Naval Research |language=en}}</ref>
* Receiving and IJCAI Computers and Thought Award (2009)<ref>{{Cite web |title=Twenty-First International Joint Conference on Artificial Intelligence |url=https://www.ijcai.org/past/ijcai-09/awards.html |access-date=2024-11-30 |website=www.ijcai.org}}</ref>
* Receiving and IJCAI Computers and Thought Award (2009)<ref>{{Cite web |title=Twenty-First International Joint Conference on Artificial Intelligence |url=https://www.ijcai.org/past/ijcai-09/awards.html |access-date=2024-11-30 |website=www.ijcai.org}}</ref>

Revision as of 19:00, 30 November 2024

  • Comment: References should be placed after punctuation, not before. Additionally, reference number 7 appears to have been authored by Guestrin himself, as it is indicates "modified by Carlos". Either remove this award and its associated ref, or provide reliable third-party sources to substantiate this claim. Please note that we do not accept submissions citing self-published or primary sources for awards. Also remove unsourced claims. TheBirdsShedTears (talk) 17:53, 30 November 2024 (UTC)
  • Comment: Thank you for the feedback. I have corrected all the issues you pointed out.

Carlos Ernesto Guestrin is a computer scientist and a professor at Stanford University. He is best known for his contributions to scalable machine learning algorithms.[1]

Biography

Guestrin received a Mechatronics Engineer degree from the Polytechnic School of the University of São Paulo,[2] and a Ph.D. in Computer Science from Stanford University, advised by Daphne Koller.[3] Guestrin went on to work as professor at Carnegie Mellon University (2004 to 2012), the University of Washington (2012-2021), and Stanford University (Since 2021).[4] He was a co-founder of Turi (formerly GraphLab), a machine learning startup that was acquired by Apple Inc. in 2016.[5] After selling the startup, Guestrin worked at Apple as the Senior Director of Machine Learning and AI.[6]

Guestrin was involved in the creation of various popular machine learning libraries and methods, including the XGBoost library,[7] the LIME technique for explainable machine learning,[8] and the GraphLab project for scalable machine learning.[9]

Honors and Awards

Guestin has received multiple honors and awards, including:

  • Receiving an ONR Young Investigator Award, 2008[10]
  • Receiving and IJCAI Computers and Thought Award (2009)[11]
  • Being awarded a Presidential Early Carreer Award (2010)[12]
  • Being elected as a Member of the National Academy of Engineering (2024)[13]
  • Receiving awards at prestigious CS confereces, including KDD 2007[14], KDD 2010[15], ACL 2020[16], and AISTATS 2010[17]

References

  1. ^ Chen, Tianqi; Guestrin, Carlos (2016-08-13). "XGBoost: A Scalable Tree Boosting System". Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD '16. New York, NY, USA: Association for Computing Machinery: 785–794. doi:10.1145/2939672.2939785. ISBN 978-1-4503-4232-2.
  2. ^ "Brasileiros da IA: Carlos Guestrin já vendeu empresa para a Apple e recebeu medalha de Obama". Estadão (in Brazilian Portuguese). Retrieved 2024-11-30.
  3. ^ "Planning under uncertainty in complex structured environments - ProQuest". www.proquest.com. Retrieved 2024-11-30.
  4. ^ "Carlos Guestrin | Paul G. Allen School of Computer Science & Engineering". www.cs.washington.edu. Retrieved 2024-11-30.
  5. ^ Soper, Taylor (2016-08-05). "Exclusive: Apple acquires Turi in major exit for Seattle-based machine learning and AI startup". GeekWire. Retrieved 2024-11-30.
  6. ^ "Carlos Ernesto Guestrin | Computer Science". profiles.stanford.edu. Retrieved 2024-11-30.
  7. ^ "Story and Lessons Behind the Evolution of XGBoost". web.archive.org. 2016-08-07. Retrieved 2024-11-30.
  8. ^ Rothman, Denis (2020-10-07). "Exploring LIME Explanations and the Mathematics Behind It". Codemotion Magazine. Retrieved 2024-11-30.
  9. ^ Low, Yucheng; Gonzalez, Joseph E.; Kyrola, Aapo; Bickson, Danny; Guestrin, Carlos E.; Hellerstein, Joseph (2014-08-09), GraphLab: A New Framework For Parallel Machine Learning, doi:10.48550/arXiv.1408.2041, retrieved 2024-11-30
  10. ^ "2008 Young Investigators". Office of Naval Research. 2022-03-18. Retrieved 2024-11-30.
  11. ^ "Twenty-First International Joint Conference on Artificial Intelligence". www.ijcai.org. Retrieved 2024-11-30.
  12. ^ "President Obama Honors Outstanding Early-Career Scientists". whitehouse.gov. 2010-01-13. Retrieved 2024-11-30.
  13. ^ "National Academy of Engineering Elects 114 Members and 21 International Members". NAE Website. Retrieved 2024-11-30.
  14. ^ "SIGKDD Awards : 2007 SIGKDD Best Paper Award". kdd.org. Retrieved 2024-11-30.
  15. ^ University, Carnegie Mellon ($dateFormat). "Team Wins Best Research Paper: Innovative Contribution KDD 2010 - Machine Learning - CMU - Carnegie Mellon University". Machine Learning | Carnegie Mellon University. Retrieved 2024-11-30. {{cite web}}: Check date values in: |date= (help)
  16. ^ Chairs, Program (2020-07-08). "Best Paper Awards at ACL 2020". ACL 2020. Retrieved 2024-11-30.
  17. ^ University, Carnegie Mellon. "Best Paper Awards - Machine Learning - CMU - Carnegie Mellon University". Machine Learning | Carnegie Mellon University. Retrieved 2024-11-30.
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