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Workshop
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Learning From Convolution-based Unlearnable Datasets
Dohyun Kim · Pedro Sandoval-Segura
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Poster
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Fri 16:30
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A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
Tin Sum Cheng · Aurelien Lucchi · Anastasis Kratsios · David Belius
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Poster
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Wed 16:30
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Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
Rachel S.Y. Teo · Tan Nguyen
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Poster
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Thu 16:30
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Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
Edward Milsom · Ben Anson · Laurence Aitchison
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Poster
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Fri 11:00
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A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
Julia Nakhleh · Joseph Shenouda · Robert Nowak
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Workshop
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Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition
Fengxue Zhang · Thomas A Desautels · Yuxin Chen
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Poster
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A generalized neural tangent kernel for surrogate gradient learning
Luke Eilers · Raoul-Martin Memmesheimer · Sven Goedeke
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Workshop
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Emergence in non-neural models: grokking modular arithmetic via average gradient outer product
Neil Mallinar · Daniel Beaglehole · Libin Zhu · Adityanarayanan Radhakrishnan · Parthe Pandit · Misha Belkin
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