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Poster
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Wed 10:45
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Minimal Variance Sampling in Stochastic Gradient Boosting
Bulat Ibragimov · Gleb Gusev
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Poster
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Wed 10:45
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Partitioning Structure Learning for Segmented Linear Regression Trees
Xiangyu Zheng · Song Xi Chen
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Poster
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Tue 17:30
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Universal Boosting Variational Inference
Trevor Campbell · Xinglong Li
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Poster
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Thu 10:45
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Provably robust boosted decision stumps and trees against adversarial attacks
Maksym Andriushchenko · Matthias Hein
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Poster
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Wed 10:45
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MonoForest framework for tree ensemble analysis
Igor Kuralenok · Vasilii Ershov · Igor Labutin
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Poster
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Wed 10:45
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Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections
Raanan Rohekar · Yaniv Gurwicz · Shami Nisimov · Gal Novik
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Poster
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Wed 10:45
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A Refined Margin Distribution Analysis for Forest Representation Learning
Shen-Huan Lyu · Liang Yang · Zhi-Hua Zhou
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Poster
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Wed 10:45
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Faster Boosting with Smaller Memory
Julaiti Alafate · Yoav S Freund
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Poster
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Thu 10:45
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Transfer Learning via Minimizing the Performance Gap Between Domains
Boyu Wang · Jorge Mendez · Mingbo Cai · Eric Eaton
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Poster
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Wed 10:45
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Fast and Accurate Least-Mean-Squares Solvers
Ibrahim Jubran · Alaa Maalouf · Dan Feldman
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Poster
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Wed 10:45
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Regularized Gradient Boosting
Corinna Cortes · Mehryar Mohri · Dmitry Storcheus
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Poster
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Thu 10:45
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Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
Fanny Yang · Zuowen Wang · Christina Heinze-Deml
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