Berk Ustun
Assistant Professor
Develops machine learning and optimization methods for responsible use of models in medicine, lending and criminal justice, such as recourse and interpretable scoring systems.
Berk Ustun's lab at UCSD works on learning theory & optimization, trustworthy & safe ML and data management & big data. 24 papers since 2023, 16 at top venues, mostly ICLR and ICML. 2 PhD students and 2 master's students. 8 alumni. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 67%
- PhD students
- 2
- MS students
- 2
- alumni listed
- 8
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 4 · collecting
- 7 papers2025 · T1 6
- 6 papers2024 · T1 3
- 6 papers2023 · T1 3
T1 venuesOtherVenues: ICLR, ICML, NeurIPS, AAAI, FAccT
Research focuspaper titles that use each topic's words
- Learning theory & optimization2 papers
- Data management & big data1 paper
- Trustworthy & safe ML0 papers
- optimization methods0 papers
- responsible0 papers
Paper list
From the lab homepage.
20265 papers
- Nature (T1)An Encyclopedia of Human Enhancer-Gene Regulatory Interactions (opens in a new tab)
- ICML (T1)Explanations Are a Means to An End (opens in a new tab)
- NeurIPS (T1)Forced Orders (opens in a new tab)
- Nature GeneticsMapping Enhancer-Gene Regulatory Interactions from Single-Cell Data (opens in a new tab)
- NeurIPS (T1)Measuring what Matters (opens in a new tab)
20257 papers
- ICLR (T1)Concept Bottleneck Large Language Models (opens in a new tab)
- FAccTDiscrimination Exposed? On the Reliability of Explanations for Discrimination Detection (opens in a new tab)
- ICLR (T1)Feature Responsiveness Scores (opens in a new tab)
- ICLR (T1)Learning with Temporal Label Noise (opens in a new tab)
- ICLR (T1)Regretful Decisions under Label Noise (opens in a new tab)
- ICML (T1)Selective Preference Aggregation (opens in a new tab)
- ICML (T1)Understanding Fixed Predictions via Confined Regions (opens in a new tab)
20246 papers
- ICLR (T1)Classification with Conceptual Safeguards (opens in a new tab)
- npj Digital MedicineGuidance for Unbiased Predictive Information for Healthcare Decision-Making and Equity (opens in a new tab)
- FAccTOperationalizing the Search for Less Discriminatory Alternatives in Fair Lending (opens in a new tab)
- ICLR (T1)Prediction without Preclusion (opens in a new tab)
- AAAI (T1)Providing Fair Recourse over Plausible Groups (opens in a new tab)
- TKDDStabilizing Recommendations by Rank-Preserving Fine-Tuning (opens in a new tab)
20236 papers
- EAAMOAlgorithmic Censoring in Dynamic Learning Systems (opens in a new tab)
- AAAI Symposium on Survival Prediction Algorithms, Challenges & ApplicationsBroadening the Time Horizon (opens in a new tab)
- JAHAOptimized Risk Score to Predict Mortality in Patients with Cardiogenic Shock in the ICU (opens in a new tab)
- NeurIPS (T1)Participatory Personalization in Classification (opens in a new tab)
- AAAI (T1)Predictive Multiplicity in Probabilistic Classification (opens in a new tab)
- ICML (T1)When Personalization Harms Performance (opens in a new tab)
Where alumni went8 listed
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
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- Members
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- Lab homepage
Tiers are venue classifications, not lab rankings.
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