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05/27/2023
Learning Capacity: A Measure of the Effective Dimensionality of a Model
We exploit a formal correspondence between thermodynamics and inference,...
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10/31/2022
A picture of the space of typical learnable tasks
We develop a technique to analyze representations learned by deep networ...
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10/04/2022
Data drift correction via time-varying importance weight estimator
Real-world deployment of machine learning models is challenging when dat...
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01/19/2022
Prospective Learning: Back to the Future
Research on both natural intelligence (NI) and artificial intelligence (...
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11/16/2020
Scalable Reinforcement Learning Policies for Multi-Agent Control
This paper develops a stochastic Multi-Agent Reinforcement Learning (MAR...
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05/10/2020
