Larry Wasserman
Professor
Studies statistical learning theory and nonparametric inference.
Larry Wasserman's lab at CMU works on learning theory & optimization, efficient training & inference and data management & big data. 3 papers since 2023, 2 at top venues, mostly JMLR and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 67%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 2 papers2024 · T1 2
- 0 papers2023 · T1 0
T1 venuesOtherVenues: JMLR, NeurIPS
Research focuspaper titles that use each topic's words
- Efficient training & inference1 paper
- Learning theory & optimization0 papers
- Data management & big data0 papers
- nonparametric0 papers
- studies statistical0 papers
Paper list
From DBLP.
20251 paper
20242 papers
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
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.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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