Optimal testing for calibration of predictive models Read more about Optimal testing for calibration of predictive models
Partial Permutation Synchronization via Cycle-Edge Message Passing Read more about Partial Permutation Synchronization via Cycle-Edge Message Passing
Multi-Reference Alignment In High Dimensions Read more about Multi-Reference Alignment In High Dimensions
A Fast, Stable QR Algorithm for the Diagonalization of Colleague Matrices Read more about A Fast, Stable QR Algorithm for the Diagonalization of Colleague Matrices
The Polyak-Lojasiewicz condition as a framework for over-parameterized optimization and its application to deep learning Read more about The Polyak-Lojasiewicz condition as a framework for over-parameterized optimization and its application to deep learning
Fast & Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems Read more about Fast & Accurate Randomized Algorithms for Linear Systems and Eigenvalue Problems
Kernel two-sample test: on manifold data and by neural tangent kernel Read more about Kernel two-sample test: on manifold data and by neural tangent kernel
Manifold learning with non-Euclidean norms, and orbit recovery Read more about Manifold learning with non-Euclidean norms, and orbit recovery