Angela Zhou
Assistant Professor of Data Science and Operations and Computer Science
Studies causal inference and reliable data-driven decision making under uncertainty.
Angela Zhou's lab at USC works on probabilistic & causal inference, reinforcement learning and efficient training & inference. 9 papers since 2023, 5 at top venues, mostly AISTATS and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 56%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 2 · collecting
- 2 papers2025 · T1 0
- 2 papers2024 · T1 2
- 3 papers2023 · T1 1
T1 venuesOtherVenues: AISTATS, NeurIPS, TMLR
Research focuspaper titles that use each topic's words
- Reinforcement learning4 papers
- Probabilistic & causal inference1 paper
- Efficient training & inference1 paper
- data-driven decision0 papers
- data sciences0 papers
Paper list
From the lab homepage.
20262 papers
- AISTATS (T1)Batch-Adaptive Annotations for Causal Inference with Complex-Embedded Outcomes
- AISTATS (T1)Structured Difference-of-Q via Orthogonal Learning
20252 papers
- —Bridging Prediction and Intervention Problems in Social Systems
- NeurIPS Position Paper TrackFostering the Ecosystem of AI for Social Impact Requires Expanding and Strengthening Evaluation Standards
20242 papers
- TMLR (T1)Multi-accurate CATE is robust to unknown covariate shifts
- AISTATS (T1)Reward-Relevance-Filtered Linear Offline Reinforcement Learning
20233 papers
- NeurIPS (T1)Optimal and Fair Encouragement Policy Evaluation and Learning
- —Optimizing and Learning Sequential Assortment Decisions with Platform Disengagement
- Major Revision at Management ScienceRobust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
Where alumni went
Alumni are not listed on the lab homepage.
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
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
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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