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Poster
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Thu 16:30
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Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Marko Medvedev · Gal Vardi · Nati Srebro
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Workshop
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Adversarial Attacks as Near-Zero Eigenvalues in the Empirical Kernel of Neural Networks
Ouns El Harzli · Bernardo Grau
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Poster
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Wed 11:00
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On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
Guhan Chen · Yicheng Li · Qian Lin
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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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Workshop
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Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks
Ouns El Harzli · Bernardo Grau
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Poster
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Wed 11:00
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Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm
Sattar Vakili · Julia Olkhovskaya
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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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Poster
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Wed 16:30
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Metric Transforms and Low Rank Representations of Kernels for Fast Attention
Timothy Chu · Josh Alman · Gary L. Miller · Shyam Narayanan · Mark Sellke · Zhao Song
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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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Poster
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Wed 16:30
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Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
Jialin Li · Marta Zagorowska · Giulia De Pasquale · Alisa Rupenyan · John Lygeros
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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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