Phebe Vayanos
Andrew and Erna Viterbi Early Career Chair and Associate Professor of Industrial and Systems Engineering and Computer Science
Develops robust optimization and machine learning for fair resource allocation and social good.
Phebe Vayanos's lab at USC works on trustworthy & safe ML and learning theory & optimization. 12 papers since 2023, 4 at top venues, mostly Management Science and AAAI. 4 PhD students. 28 alumni, most often to Meta and RAND Corporation. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 33%
- PhD students
- 4
- MS students
- 0
- alumni listed
- 28
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 1 · collecting
- 4 papers2025 · T1 1
- 2 papers2024 · T1 1
- 3 papers2023 · T1 1
T1 venuesOtherVenues: Management Science, AAAI, AAAI/ACM AIES, Operations Research
Research focuspaper titles that use each topic's words
- Learning theory & optimization7 papers
- Trustworthy & safe ML2 papers
- robust optimization2 papers
- allocation1 paper
- resource allocation1 paper
Paper list
From the lab homepage.
20263 papers
- Mathematical Programming, .Distributionally robust optimization with decision-dependent information discovery
- Accepted at Operations Research, AugustLearning optimal classification trees robust to distribution shifts
- Management Science (T1)Learning optimal prescriptive trees from observational data
20254 papers
- In Proceedings of the Artificial Intelligence and Statistics Conference (AISTATS'25)Mixed-feature logistic regression robust to distribution shifts
- INFORMS TutORials in Operations Research, 184-230, .Responsible machine learning via mixed integer optimization
- Management Science (T1)Robust optimization with decision-dependent information discovery
- AAAI/ACM AIESToward AI matching policies in homeless services: a qualitative study with policymakers
20242 papers
- In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'24)Learning fair policies for multi-stage selection problems from observational data
- Operations Research (T1)Strong optimal classification trees
20233 papers
- In Proceedings of the ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO'23)Deploying a robust active preference elicitation algorithm: experiment design, interface, and evaluation for COVID-19 Patient Prioritization
- AAAI (T1)Fairness in contextual resource allocation systems: metrics and incompatibility results
- In Proceedings of AAAI/ACM Conference on AI, Ethics, and Society (AIES)Learning optimal fair classification trees: trade-offs between fairness, interpretability, and accuracy
Where alumni went28 listed, 56% to industry
Industry 5Academia 4
Most often to
- Meta
- RAND Corporation
- Sony
Also to
- EPFL
- Harvard University
- Stanford University
Apply to USCFall 2027
Computer Science PhD (Viterbi)
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
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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