Barnabas Poczos
Associate Professor
Studies statistical machine learning and its applications in the sciences.
Barnabas Poczos's lab at CMU works on learning theory & optimization. Applications close .
At a glance
- papers, 2023–2026
- —
- at T1 venues
- —
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by year2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOther
Paper list
No papers from 2023–2026 are listed for this lab.
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.
Similar labsnearest by research summary
- SGNTU
Timothy van Bremen
- Probabilistic & causal inference
- CNZhejiang
Rongpeng Li
- Reinforcement learning
- CNTsinghua
Yong Li
- Time series, anomaly & spatio-temporal data
- USUCLA
Lin Yang
- Learning theory & optimization
- CHETH Zurich
Jonas Peters
- Probabilistic & causal inference
- GBUCL
Siddharth Swaroop
- Probabilistic & causal inference
Your notes
Save this lab to keep notes.
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.
- No publication list could be matched on the lab site or in DBLP.
- Collected
- Verified
- Papers
- Not collected
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
CMUcloses