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Learning Pseudo-Backdoors for Mixed Integer Programs
We propose a machine learning approach for quickly solving Mixed Integer...
06/09/2021 ∙ by Aaron Ferber, et al. ∙
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Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)
Enhanced AutoNav (ENav), the baseline surface navigation software for NA...
11/11/2020 ∙ by Neil Abcouwer, et al. ∙
10
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A General Large Neighborhood Search Framework for Solving Integer Programs
This paper studies how to design abstractions of large-scale combinatori...
03/29/2020 ∙ by Jialin Song, et al. ∙
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Co-training for Policy Learning
We study the problem of learning sequential decision-making policies in ...
07/03/2019 ∙ by Jialin Song, et al. ∙
5
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Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes
We apply numerical methods in combination with finite-difference-time-do...
11/15/2018 ∙ by Jialin Song, et al. ∙
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A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
How can we efficiently gather information to optimize an unknown functio...
11/02/2018 ∙ by Jialin Song, et al. ∙
12
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Learning to Search via Self-Imitation
We study the problem of learning a good search policy. To do so, we prop...
04/03/2018 ∙ by Jialin Song, et al. ∙
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Onsets and Frames: Dual-Objective Piano Transcription
We consider the problem of transcribing polyphonic piano music with an e...
10/30/2017 ∙ by Curtis Hawthorne, et al. ∙
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