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Workshop
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FedTH : Tree-based Hierarchical Image Classification in Federated Learning
Jaeheon Kim · Bong Jun Choi
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Workshop
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Identifying Witnesses to Noise Transients in Ground-based Gravitational-wave Observations using Auxiliary Channels with Matrix and Tensor Factorization Techniques
Rutuja Gurav · Vagelis Papalexakis · Gabriele Vajente · Jonathan Richardson · Barry Barish
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Poster
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Thu 9:00
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Why do tree-based models still outperform deep learning on typical tabular data?
Leo Grinsztajn · Edouard Oyallon · Gael Varoquaux
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Poster
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Thu 9:00
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Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy · Daniel Lowd
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Poster
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Wed 14:00
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(De-)Randomized Smoothing for Decision Stump Ensembles
Miklós Horváth · Mark Müller · Marc Fischer · Martin Vechev
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Poster
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Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song · Ke Xue · Xiaobin Huang · Chao Qian
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Workshop
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Estimating Corporate Scope 1 Emissions Using Tree-Based Machine Learning Methods
Elham Kheradmand · Maida Hadziosmanovic · Nazim Benguettat · H. Damon Matthews · Shannon M. Lloyd
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Poster
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Tue 14:00
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Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor
Salim I. Amoukou · Nicolas Brunel
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