64 citations · 129 across the 5 of their papers we have counts for
5 papers
Co-training for Policy Learning
Jialin Song, Ravi Lanka, Yisong Yue +1
We study the problem of learning sequential decision-making policies in settings with multiple state-action representations. Such settings naturally arise in many domains, such as…
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes
Jialin Song, Yury S. Tokpanov, Yuxin Chen +4
We apply numerical methods in combination with finite-difference-time-domain (FDTD) simulations to optimize transmission properties of plasmonic mirror color filters using a multi-…
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
Jialin Song, Yuxin Chen, Yisong Yue
How can we efficiently gather information to optimize an unknown function, when presented with multiple, mutually dependent information sources with different costs? For example, w…
Learning to Search via Retrospective Imitation
Jialin Song, Ravi Lanka, Albert Zhao +3
We study the problem of learning a good search policy for combinatorial search spaces. We propose retrospective imitation learning, which, after initial training by an expert, impr…
Onsets and Frames: Dual-Objective Piano Transcription
Curtis Hawthorne, Erich Elsen, Jialin Song +6
We advance the state of the art in polyphonic piano music transcription by using a deep convolutional and recurrent neural network which is trained to jointly predict onsets and fr…