Pradeep Ravikumar
Professor
Studies statistical machine learning, learning theory and explainable, robust AI.
Pradeep Ravikumar's lab at CMU works on learning theory & optimization, trustworthy & safe ML and human-AI collaboration & trust. 3 papers since 2023, 3 at top venues, mostly NeurIPS and ICML. 5 PhD students. 24 alumni, most often to Google and Meta. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 100%
- PhD students
- 5
- MS students
- 0
- alumni listed
- 24
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 1
- 1 papers2024 · T1 1
- 1 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, ICML
Research focuspaper titles that use each topic's words
- Learning theory & optimization2 papers
- Trustworthy & safe ML0 papers
- Human-AI collaboration & trust0 papers
- studies statistical0 papers
- explainable0 papers
Paper list
From the lab homepage.
20251 paper
20241 paper
Where alumni went24 listed, 62% to industry
Industry 13Academia 8
Most often to
- Meta
- Waymo
Also to
- Harvard University
- KAIST
- Purdue University
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
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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