Christian Borgs
Professor
Studies the theory of large networks, graph limits and algorithmic fairness, connecting statistical physics with machine learning.
Christian Borgs's lab at UC Berkeley works on learning theory & optimization and trustworthy & safe ML. 5 papers since 2023, 1 at top venues, mostly NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 20%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 0 papers2024 · T1 0
- 4 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS
Research focuspaper titles that use each topic's words
- Learning theory & optimization0 papers
- Trustworthy & safe ML0 papers
- limits0 papers
- statistical physics0 papers
- algorithmic fairness0 papers
Paper list
From DBLP.
20251 paper
- Comb. Probab. Comput.A large deviation principle for block models (opens in a new tab)
20234 papers
- AiOfAi@IJCAIDisincentivizing Polarization in Social Networks (opens in a new tab)
- Random Struct. AlgorithmsEfficient sampling and counting algorithms for the Potts model on ℤd at all temperatures (opens in a new tab)
- AStA Wirtschafts und Sozialstatistisches Arch.Qualitätsdimensionen maschinellen Lernens in der amtlichen Statistik (opens in a new tab)
- NeurIPS (T1)Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
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
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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