A Deep Learning Approach to Probabilistic Forecasting of Weather. - Nick Rittler; Carlo Graziani; Jiali Wang; Rao Kotamarthi (CoRR, 2022)

A Two-Stage Active Learning Algorithm for k-Nearest Neighbors. - Nicholas Rittler; Kamalika Chaudhuri (ICML, 2023)

Agnostic Multi-Group Active Learning. - Nicholas Rittler; Kamalika Chaudhuri (NeurIPS, 2023)

Distribution Learning with Valid Outputs Beyond the Worst-Case. - Nicholas Rittler; Kamalika Chaudhuri (NeurIPS, 2024)

Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift. - Robi Bhattacharjee; Nick Rittler; Kamalika Chaudhuri (CoRR, 2024)