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Poster
Thu 9:00 Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy · Daniel Lowd
Poster
Wed 9:00 Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel
Yutong Wang · Clay Scott
Poster
Tue 9:00 Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Alexander Thebelt · Calvin Tsay · Robert Lee · Nathan Sudermann-Merx · David Walz · Behrang Shafei · Ruth Misener
Poster
Tue 14:00 Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel
Seijin Kobayashi · Pau Vilimelis Aceituno · Johannes von Oswald
Poster
Thu 14:00 Reconstruction on Trees and Low-Degree Polynomials
Frederic Koehler · Elchanan Mossel
Poster
Wed 14:00 Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
Michael K. Cohen · Samuel Daulton · Michael A Osborne
Poster
Wed 14:00 (De-)Randomized Smoothing for Decision Stump Ensembles
Miklós Horváth · Mark Müller · Marc Fischer · Martin Vechev