Geoffrey J. Gordon
Professor, Associate Department Head
Studies reinforcement learning, statistical machine learning, optimization and spectral methods.
Geoffrey J. Gordon's lab at CMU works on learning theory & optimization and reinforcement learning. 5 papers since 2023, 3 at top venues, mostly ICML and ICLR. 19 alumni. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 60%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 19
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 2
- 2 papers2024 · T1 1
- 0 papers2023 · T1 0
T1 venuesOtherVenues: ICML, ICLR
Research focuspaper titles that use each topic's words
- Learning theory & optimization2 papers
- Reinforcement learning2 papers
- spectral0 papers
- studies reinforcement0 papers
- statistical machine0 papers
Paper list
From DBLP.
20253 papers
- IEEE Internet Comput.A Vision for Computational Decarbonization of Societal Infrastructure (opens in a new tab)
- ICML (T1)CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection (opens in a new tab)
- ICLR (T1)LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning (opens in a new tab)
20242 papers
Where alumni went19 listed
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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Data
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- Papers
- DBLP
- Members
- Lab homepage
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- Lab homepage
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