Benjamin Recht
Professor
Studies optimization, machine learning theory, and learning for control.
Benjamin Recht's lab at UC Berkeley works on learning theory & optimization. 7 papers since 2023, 3 at top venues, mostly CDC and CVPR. 30 alumni. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 43%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 30
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 1
- 1 papers2024 · T1 0
- 3 papers2023 · T1 2
T1 venuesOtherVenues: CDC, CVPR, ICML, JMLR
Research focuspaper titles that use each topic's words
- Learning theory & optimization1 paper
- studies optimization0 papers
- computer sciences0 papers
- learning theory0 papers
- sciences0 papers
Paper list
From the lab homepage.
20253 papers
20241 paper
- Harvard Data Science ReviewThe Mechanics of Frictionless Reproducibility (opens in a new tab)
Where alumni went30 listed
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS (non-English-country degrees)
- Fee
- See program page
Confirmed on the program page.
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Your notes
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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