Posted at 10 Nov, 17:33h in Papers 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes Sample, Estimate, Tune: Scaling Bayesian Auto-Tuning of Data Science Pipelines
Posted at 10 Nov, 17:33h in Papers 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes AnonML: Locally Private Machine Learning over a Network of Data Holders
Posted at 10 Nov, 17:27h in Papers 2017 by Kalyan Veeramachaneni 0 Comments 1 Like FeatureHub: Towards Collaborative Data Science
Posted at 09 Feb, 18:30h in Papers 2017 by Kalyan Veeramachaneni 0 Comments 0 Likes Learning Representations for Log Data in Cybersecurity
Posted at 12 Mar, 20:35h in Papers, Papers 2016 by Kalyan Veeramachaneni 0 Comments 0 Likes AnonML: Anonymous machine learning over a network of data holders
Posted at 12 Jan, 20:36h in Papers, Papers 2016 by Kalyan Veeramachaneni 0 Comments 0 Likes Markov Switching Copula Models for Longitudinal Data
Posted at 12 Aug, 15:12h in Papers, Papers 2016, Thesis by Kalyan Veeramachaneni 0 Comments 0 Likes Label, Segment, Featurize: a cross domain framework for prediction engineering
Posted at 12 Jun, 20:32h in Papers, Papers 2016 by Kalyan Veeramachaneni 0 Comments 0 Likes What would a data scientist ask? Automatically formulating and solving prediction problems
Posted at 12 Apr, 20:35h in Papers, Papers 2016 by Kalyan Veeramachaneni 0 Comments 3 Likes The synthetic data vault
Posted at 12 Feb, 20:35h in Papers, Papers 2016 by Kalyan Veeramachaneni 0 Comments 0 Likes Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs