Elliot Meyerson

According to our database1, Elliot Meyerson authored at least 22 papers between 2014 and 2023.

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Bibliography

2023
Discovering Effective Policies for Land-Use Planning.
CoRR, 2023

Language Model Crossover: Variation through Few-Shot Prompting.
CoRR, 2023

2022
Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings).
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic.
IEEE Trans. Evol. Comput., 2021

The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings.
Proceedings of the 9th International Conference on Learning Representations, 2021

Evaluating medical aesthetics treatments through evolved age-estimation models.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic.
CoRR, 2020

Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel.
Proceedings of the 8th International Conference on Learning Representations, 2020

Effective reinforcement learning through evolutionary surrogate-assisted prescription.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Evolutionary neural AutoML for deep learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back.
Proceedings of the 35th International Conference on Machine Learning, 2018

Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering.
Proceedings of the 6th International Conference on Learning Representations, 2018

Evolutionary architecture search for deep multitask networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Evolving Deep Neural Networks.
CoRR, 2017

Discovering evolutionary stepping stones through behavior domination.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
Learning Behavior Characterizations for Novelty Search.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Reuse of Neural Modules for General Video Game Playing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
On the Cross-Domain Reusability of Neural Modules for General Video Game Playing.
Proceedings of the Computer Games - Fourth Workshop on Computer Games, 2015

Frame Skip Is a Powerful Parameter for Learning to Play Atari.
Proceedings of the Learning for General Competency in Video Games, 2015

2014
DMVP: Foremost Waypoint Coverage of Time-Varying Graphs.
Proceedings of the Graph-Theoretic Concepts in Computer Science, 2014

Multi-Robot Foremost Coverage of Time-Varying Graphs.
Proceedings of the Algorithms for Sensor Systems, 2014


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