activity
20162019
most citedNonlinear Semi-Parametric Models for Survival Analysis

3 citations · 4 across the 2 of their papers we have counts for

collaborators

7 papers

cs.LG20193 cited

Nonlinear Semi-Parametric Models for Survival Analysis

Chirag Nagpal, Rohan Sangave, Amit Chahar +3

Semi-parametric survival analysis methods like the Cox Proportional Hazards (CPH) regression (Cox, 1972) are a popular approach for survival analysis. These methods involve fitting…

stat.AP2017

Discovery of Complex Anomalous Patterns of Sexual Violence in El Salvador

Maria De-Arteaga, Artur Dubrawski

When sexual violence is a product of organized crime or social imaginary, the links between sexual violence episodes can be understood as a latent structure. With this assumption i…

stat.ML20171 cited

Noise-Tolerant Interactive Learning from Pairwise Comparisons

Yichong Xu, Hongyang Zhang, Aarti Singh +2

We study the problem of interactively learning a binary classifier using noisy labeling and pairwise comparison oracles, where the comparison oracle answers which one in the given…

cs.LG2016

Suppressing Background Radiation Using Poisson Principal Component Analysis

P. Tandon, P. Huggins, A. Dubrawski +2

Performance of nuclear threat detection systems based on gamma-ray spectrometry often strongly depends on the ability to identify the part of measured signal that can be attributed…

stat.ML2016

Clustering on the Edge: Learning Structure in Graphs

Matt Barnes, Artur Dubrawski

With the recent popularity of graphical clustering methods, there has been an increased focus on the information between samples. We show how learning cluster structure using edge…

cs.LG2016

Batched Lazy Decision Trees

Mathieu Guillame-Bert, Artur Dubrawski

We introduce a batched lazy algorithm for supervised classification using decision trees. It avoids unnecessary visits to irrelevant nodes when it is used to make predictions with…