8 citations · 31 across the 13 of their papers we have counts for
5 papers · 1 filter
Pairwise Feedback for Data Programming
Benedikt Boecking, Artur Dubrawski
The scalability of the labeling process and the attainable quality of labels have become limiting factors for many applications of machine learning. The programmatic creation of la…
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning
Chufan Gao, Fabian Falck, Mononito Goswami +3
Monitoring physiological responses to hemodynamic stress can help in determining appropriate treatment and ensuring good patient outcomes. Physicians' intuition suggests that the h…
Zeroth Order Non-convex optimization with Dueling-Choice Bandits
Yichong Xu, Aparna Joshi, Aarti Singh +1
We consider a novel setting of zeroth order non-convex optimization, where in addition to querying the function value at a given point, we can also duel two points and get the poin…
Thresholding Bandit Problem with Both Duels and Pulls
Yichong Xu, Xi Chen, Aarti Singh +1
The Thresholding Bandit Problem (TBP) aims to find the set of arms with mean rewards greater than a given threshold. We consider a new setting of TBP, where in addition to pulling…
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…