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Jakob Heiss

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs

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Dec 04, 2024
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Prices, Bids, Values: Everything, Everywhere, All at Once

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Nov 14, 2024
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Machine Learning-powered Combinatorial Clock Auction

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Aug 20, 2023
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Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework

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Jul 24, 2023
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How (Implicit) Regularization of ReLU Neural Networks Characterizes the Learned Function -- Part II: the Multi-D Case of Two Layers with Random First Layer

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Mar 20, 2023
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Bayesian Optimization-based Combinatorial Assignment

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Aug 31, 2022
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Infinite width (finite depth) neural networks benefit from multi-task learning unlike shallow Gaussian Processes -- an exact quantitative macroscopic characterization

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Jan 05, 2022
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NOMU: Neural Optimization-based Model Uncertainty

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Mar 03, 2021
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How implicit regularization of Neural Networks affects the learned function -- Part I

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Nov 07, 2019
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