135 citations · 232 across the 11 of their papers we have counts for
4 papers · 1 filter
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
We study the problem of reducing test-time acquisition costs in classification systems. Our goal is to learn decision rules that adaptively select sensors for each example as neces…
Sensor Selection by Linear Programming
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
We learn sensor trees from training data to minimize sensor acquisition costs during test time. Our system adaptively selects sensors at each stage if necessary to make a confident…
Feature-Budgeted Random Forest
Feng Nan, Joseph Wang, Venkatesh Saligrama
We seek decision rules for prediction-time cost reduction, where complete data is available for training, but during prediction-time, each feature can only be acquired for an addit…
Max-Cost Discrete Function Evaluation Problem under a Budget
Feng Nan, Joseph Wang, Venkatesh Saligrama
We propose novel methods for max-cost Discrete Function Evaluation Problem (DFEP) under budget constraints. We are motivated by applications such as clinical diagnosis where a pati…