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Poster
Wed 10:45 Partitioning Structure Learning for Segmented Linear Regression Trees
Xiangyu Zheng · Song Xi Chen
Poster
Wed 10:45 Minimal Variance Sampling in Stochastic Gradient Boosting
Bulat Ibragimov · Gleb Gusev
Poster
Tue 17:30 Universal Boosting Variational Inference
Trevor Campbell · Xinglong Li
Poster
Thu 10:45 Provably robust boosted decision stumps and trees against adversarial attacks
Maksym Andriushchenko · Matthias Hein
Poster
Wed 10:45 MonoForest framework for tree ensemble analysis
Igor Kuralenok · Vasilii Ershov · Igor Labutin
Poster
Wed 10:45 A Refined Margin Distribution Analysis for Forest Representation Learning
Shen-Huan Lyu · Liang Yang · Zhi-Hua Zhou
Poster
Wed 10:45 Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Raanan Rohekar · Yaniv Gurwicz · Shami Nisimov · Gal Novik
Poster
Wed 10:45 Faster Boosting with Smaller Memory
Julaiti Alafate · Yoav S Freund
Poster
Thu 10:45 Transfer Learning via Minimizing the Performance Gap Between Domains
Boyu Wang · Jorge Mendez · Mingbo Cai · Eric Eaton
Poster
Wed 10:45 A Debiased MDI Feature Importance Measure for Random Forests
Xiao Li · Yu Wang · Sumanta Basu · Karl Kumbier · Bin Yu
Poster
Wed 10:45 Margin-Based Generalization Lower Bounds for Boosted Classifiers
Allan Grønlund · Lior Kamma · Kasper Green Larsen · Alexander Mathiasen · Jelani Nelson
Poster
Tue 10:45 Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation
Devin Reich · Ariel Todoki · Rafael Dowsley · Martine De Cock · Anderson Nascimento