Real-Time Scheduling via Reinforcement Learning

Real-time Transient Classification and Broadcast Pipeline

Recent Developments in Catalog Data Viewing and Visualization at the ADC

Recent Results from VLBI Blazar Surveys

Recognizing explosion sites without seismogram readings: neural network analysis of envelope-transformed multistation SP recordings 3-6Hz

Reconstructing Pompeian Households

Reconstruction of sequential data with density models

Reduced-Rank Hidden Markov Models

Reducing Commitment to Tasks with Off-Policy Hierarchical Reinforcement Learning

Refinement of Operator-valued Reproducing Kernels

Reflecting on the history of astronomy education research to plan for the future

Reflecting on the History of Astronomy Education Research to Plan for the Future

Regression on fixed-rank positive semidefinite matrices: a Riemannian approach

Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems

Regret Bound by Variation for Online Convex Optimization

Regret Bounds for Deterministic Gaussian Process Bandits

Regret in Online Combinatorial Optimization

Regularization Techniques for Learning with Matrices

Regularized Maximum Likelihood for Intrinsic Dimension Estimation

Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies