187 citations · 200 across the 6 of their papers we have counts for
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cs.LG2021★ 3 cited
Density Ratio Estimation via Infinitesimal Classification
Kristy Choi, Chenlin Meng, Yang Song +1
Density ratio estimation (DRE) is a fundamental machine learning technique for comparing two probability distributions. However, existing methods struggle in high-dimensional setti…
cs.LG2021★ 3 cited
Featurized Density Ratio Estimation
Kristy Choi, Madeline Liao, Stefano Ermon
Density ratio estimation serves as an important technique in the unsupervised machine learning toolbox. However, such ratios are difficult to estimate for complex, high-dimensional…
cs.LG2021
Neural Network Compression for Noisy Storage Devices
Berivan Isik, Kristy Choi, Xin Zheng +4
Compression and efficient storage of neural network (NN) parameters is critical for applications that run on resource-constrained devices. Despite the significant progress in NN mo…