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08/20/2023
Machine Learning-powered Combinatorial Clock Auction
We study the design of iterative combinatorial auctions (ICAs). The main...
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07/24/2023
Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework
The Path-Dependent Neural Jump ODE (PD-NJ-ODE) is a model for predicting...
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03/20/2023
How (Implicit) Regularization of ReLU Neural Networks Characterizes the Learned Function – Part II: the Multi-D Case of Two Layers with Random First Layer
Randomized neural networks (randomized NNs), where only the terminal lay...
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08/31/2022
Bayesian Optimization-based Combinatorial Assignment
We study the combinatorial assignment domain, which includes combinatori...
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12/31/2021
Infinite width (finite depth) neural networks benefit from multi-task learning unlike shallow Gaussian Processes – an exact quantitative macroscopic characterization
We prove in this paper that optimizing wide ReLU neural networks (NNs) w...
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09/30/2021
Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment
Many important resource allocation problems involve the combinatorial as...
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02/26/2021
NOMU: Neural Optimization-based Model Uncertainty
We introduce a new approach for capturing model uncertainty for neural n...
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11/07/2019