Matteo Sesia
Associate Professor of Data Sciences and Operations and Computer Science
Develops statistical methods for conformal prediction and selective inference in machine learning.
Matteo Sesia's lab at USC works on learning theory & optimization, efficient training & inference and data management & big data. 19 papers since 2023, 9 at top venues, mostly ICML and JMLR. 2 PhD students. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 47%
- PhD students
- 2
- MS students
- 0
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 2
- 5 papers2024 · T1 4
- 5 papers2023 · T1 3
T1 venuesOtherVenues: ICML, JMLR, NeurIPS, CDC, EMNLP
Research focuspaper titles that use each topic's words
- Data management & big data4 papers
- Efficient training & inference2 papers
- Learning theory & optimization1 paper
- data sciences0 papers
- statistical methods0 papers
Paper list
From the lab homepage.
20265 papers
- Journal of the American Statistical AssociationCollective Outlier Detection and Enumeration with Conformalized Closed Testing (opens in a new tab)
- CDCConformal predictive programming for chance constrained optimization (opens in a new tab)
- Annual Review of Statistics and Its ApplicationElements of Conformal Prediction (opens in a new tab)
- Journal of the American Statistical AssociationSearching for local associations while controlling the false discovery rate (opens in a new tab)
- Journal of the American Statistical AssociationStructured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems (opens in a new tab)
20254 papers
- Journal of the American Statistical AssociationA smoothed-Bayesian approach to frequency recovery from sketched data (opens in a new tab)
- COPAConformal Survival Bands for Risk Screening under Right-Censoring (opens in a new tab)
- ICML (T1)Doubly Robust Conformalized Survival Analysis with Right-Censored Data (opens in a new tab)
- ICML (T1)Robust Conformal Outlier Detection under Contaminated Reference Data (opens in a new tab)
20245 papers
- Journal of the Royal Statistical Society: Series BAdaptive conformal classification with noisy labels (opens in a new tab)
- NeurIPS (T1)Conformal Classification with Equalized Coverage for Adaptively Selected Groups (opens in a new tab)
- ICML (T1)Conformalized adaptive forecasting of heterogeneous trajectories (opens in a new tab)
- JMLR (T1)Random measure priors in Bayesian frequency recovery from sketches (opens in a new tab)
- EMNLP (T1)Uncertainty in Language Models: Assessment through Rank-Calibration (opens in a new tab)
20235 papers
- JMLR (T1)Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries (opens in a new tab)
- ICML (T1)Conformal inference is (almost) free for neural networks trained with early stopping (opens in a new tab)
- NeurIPS (T1)Derandomized novelty detection with FDR control via conformal e-values (opens in a new tab)
- Journal of the Royal Statistical Society: Series BIntegrative conformal p-values for powerful out-of-distribution testing with labeled outliers (opens in a new tab)
- Annals of StatisticsTesting for Outliers with Conformal p-values (opens in a new tab)
Where alumni went4 listed
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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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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