Papers
1–4 of 4Brenier Isotonic Regression
Isotonic regression (IR) is shape-constrained regression to maintain a univariate fitting curve non-decreasing, which has numerous applications including single-index models and probability calibratio...
Worst-case low-rank approximations
Real-world data in health, economics, and environmental sciences are often collected across heterogeneous domains (such as hospitals, regions, or time periods). In such settings, distributional shifts...
Decomposing Probabilistic Scores: Reliability, Information Loss and Uncertainty
Calibration is a conditional property that depends on the information retained by a predictor. We develop decomposition identities for arbitrary proper losses that make this dependence explicit. At an...
Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
Active seriation aims at recovering an unknown ordering of $n$ items by adaptively querying pairwise similarities. The observations are noisy measurements of entries of an underlying $n$ x $n$ permute...