Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation
Fengxue Zhang, Jialin Song, James C Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen
[pdf]
ICML 2023

Learning to Make Decisions via Submodular Regularization
Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen
[pdf]
ICLR 2021

A General Large Neighborhood Search Framework for Solving Integer Linear Programs
Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina
[arxiv][colab]
NeurIPS 2020

Multi-task Bayesian Optimization via Gaussian Process Upper Confidence Bound
Sihui Dai, Jialin Song, Yisong Yue
[pdf][slides]
Workshop on Real World Experiment Design and Active Learning, ICML 2020

A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
Jialin Song, Yuxin Chen, Yisong Yue
[pdf] [supplementary]
AISTATS 2019

Onsets and Frames: Dual-Objective Piano Transcription
Curtis Hawthorne*, Erich Elsen*, Jialin Song*, Adam Roberts, Ian Simon, Colin Raffel, Jesse Engel, Sageev Oore, Douglas Eck
[arxiv][blog][code]
ISMIR 2018