PeopleofSuperintelligence

Researcher

Kevin Jamieson

Kevin Jamieson is a University of Washington computer scientist whose work develops adaptive methods for machine learning. He earned a B.S. at the University of Washington in 2009, studied in UW–Madison’s WID Optimization research group in 2013, and completed a Ph.D. there in 2015 under Robert Nowak. With Ameet Talwalkar, he published a 2016 AISTATS paper on non-stochastic best-arm identification, whose method sped hyperparameter search by allocating resources to promising settings. After a Berkeley postdoc, he joined UW faculty in 2017 and coauthored Hyperband in 2018; by 2023, his NSF CAREER project explored closed-loop data collection. In 2026, AISTATS gave him and Talwalkar its Test of Time Award, and as of October 2026 he is an associate professor in UW’s Allen School.

Badges

Timeline

  1. 2009–2015

    UW and Wisconsin degrees

    He earns a B.S. at the University of Washington in 2009 under Maya Gupta. In 2013, he is a graduate student in the UW–Madison College of Engineering and WID’s Optimization research group. He completes a Ph.D. in electrical engineering at the University of Wisconsin–Madison in 2015 under Robert Nowak.

  2. 2016

    Non-stochastic best-arm identification

    With Ameet Talwalkar, he publishes “Non-stochastic Best Arm Identification and Hyperparameter Optimization” at AISTATS in 2016. Their method allocates more resources to promising settings and reaches comparable test accuracies an order of magnitude faster than baseline methods.

  3. 2017

    Joining the Allen School

    After a postdoc at UC Berkeley, he joins the University of Washington in 2017 as Guestrin Endowed Professor in Artificial Intelligence & Machine Learning.

  4. 2018

    Hyperband in JMLR

    With Lisha Li, Giulia DeSalvo, Afshin Rostamizadeh, and Ameet Talwalkar, he publishes Hyperband in the Journal of Machine Learning Research in 2018. It speeds random search through adaptive resource allocation and early stopping.

  5. By 2023

    A closed-loop CAREER project

    By 2023, his NSF CAREER project, “Non-asymptotic, instance-optimal closed-loop learning,” explores reliable data-collection strategies for closed-loop learning.

  6. 2026

    AISTATS Test of Time Award

    In 2026, AISTATS gives him and Ameet Talwalkar its Test of Time Award for “Non-stochastic Best Arm Identification and Hyperparameter Optimization.”

  7. As of October 2026

    Associate professor at UW

    As of October 2026, he is an Associate Professor in the Paul G. Allen School of Computer Science & Engineering. In Winter 2026, he teaches CSE 541 Interactive Machine Learning.

Career

  1. NowUniversity of WashingtonAssociate Professor
  2. University of California, BerkeleyPostdoc

Education

  1. 2015University of Wisconsin–MadisonPhD in electrical engineering
  2. 2013University of Wisconsin–MadisonGraduate student
  3. 2009University of WashingtonB.S.

From the biography.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Washington. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Washington. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes University of Washington. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  4. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes University of Washington. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.

Sources and credits

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  1. Kevin Jamieson, Associate Professor - Paul G. Allen School of Computer Science & Engineering cs.washington.edu. Checked 21 October 2026.
  2. Graduate Student Refines Formulas to Optimize How Computers “Think” wid.wisc.edu. Checked 21 October 2026.
  3. Kevin Jamieson homes.cs.washington.edu. Checked 21 October 2026.
  4. Non-stochastic Best Arm Identification and Hyperparameter Optimization proceedings.mlr.press. Checked 21 October 2026.
  5. Non-stochastic Best Arm Identification and Hyperparameter Optimization arxiv.org. Checked 21 October 2026.
  6. Kevin Jamieson joins Allen School faculty as Guestrin Endowed Professor in Artificial Intelligence & Machine Learning news.cs.washington.edu. Checked 21 October 2026.
  7. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization jmlr.org. Checked 21 October 2026.
  8. Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization arxiv.org. Checked 21 October 2026.
  9. Super 8: How the Allen School’s most recent NSF CAREER Award-winning faculty are reimagining the future of computing news.cs.washington.edu. Checked 21 October 2026.
  10. AISTATS 2026 virtual.aistats.org. Checked 21 October 2026.
  11. Kevin Jamieson homes.cs.washington.edu. Checked 21 October 2026.