- ERRATA for paper "Minimax Bounds for Active Learning" -In Rui M. Castro and Robert D. Nowak
- Human Active Learning Rui Castro1
- FINDING NEEDLES IN NOISY HAYSTACKS R. M. Castro, J. Haupt, R. Nowak
- Adaptive Discovery of Sparse Signals in Noise Jarvis Haupt
- Faster Rates in Regression via Active Learning Rice University
- ADAPTIVE SENSING FOR SPARSE SIGNAL RECOVERY Jarvis Haupt, Robert Nowak
- Minimax Bounds for Active Learning Rui M. Castro1,2
- COMPRESSIVE SAMPLING FOR SIGNAL CLASSIFICATION Jarvis Haupt, Rui Castro
- Likelihood Based Hierarchical Clustering R. M. Castro*, Student Member, IEEE, M. J. Coates, Member, IEEE
- Faster Rates in Regression Via Active Learning Rui Castro, Rebecca Willett and Robert Nowak
- Selective Gossip Deniz Ustebay
- IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. XX, NO. X, MONTH YEAR 1 Minimax Bounds for Active Learning
- RICE UNIVERSITY Active Learning and Adaptive Sampling
- RICE UNIVERSITY Active Learning and Adaptive Sampling
- COARSE-TO-FINE MANIFOLD LEARNING Rui Castro, Rebecca Willett and Robert Nowak
- Distilled Sensing: Selective Sampling for Sparse Signal Recovery Jarvis Haupt
- COMPRESSED SENSING VS. ACTIVE LEARNING Rui Castro, Jarvis Haupt, Robert Nowak
- Statistical Science 2004, Vol. 19, No. 3, 499517
- ADAPTIVE SPECTRUM SENSING FOR AGILE COGNITIVE RADIOS Ali Tajer, Rui Castro, and Xiaodong Wang
- Upper and Lower Error Bounds for Active Learning Rui M. Castro and Robert D. Nowak
