Preprints
- L Bürger, FA Hamprecht, B Nadler, Truth is Universal: Robust Detection of Lies in LLMs, NeurIPS 24, to appear.
- E. Azar and B. Nadler, Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data. NeurIPS 24, to appear.
- R. Fonseca and B. Nadler, Distributed Sparse Linear Regression under Communication Constraints
- X. Liu, X. Han, E. Chi and B. Nadler, A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion, Journal of Computational and Graphical Statistics, to appear.
- A. Birnbaum and B. Nadler, High Dimensional Sparse Covariance Estimation: Accurate thresholds for the maximal diagonal entry and for the largest correlation coefficient , technical report, 2012.
