3 papers
cs.LG2026
Voice Biomarkers for Depression and Anxiety
Oleksii Abramenko, Noah D. Stein, Colin Vaz
Current approaches to detecting depression and anxiety from speech primarily rely on machine learning techniques that utilize hand-engineered paralinguistic features and related ac…
stat.ML2018
Graph Signal Sampling via Reinforcement Learning
Oleksii Abramenko, Alexander Jung
We formulate the problem of sampling and recovering clustered graph signal as a multi-armed bandit (MAB) problem. This formulation lends naturally to learning sampling strategies u…
cs.LG2017
On the Sample Complexity of Graphical Model Selection for Non-Stationary Processes
Nguyen Q. Tran, Oleksii Abramenko, Alexander Jung
We characterize the sample size required for accurate graphical model selection from non-stationary samples. The observed data is modeled as a vector-valued zero-mean Gaussian rand…