65 citations · 307 across the 25 of their papers we have counts for
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cs.LG2023
Off-Policy Evaluation for Large Action Spaces via Policy Convolution
Noveen Sachdeva, Lequn Wang, Dawen Liang +2
Developing accurate off-policy estimators is crucial for both evaluating and optimizing for new policies. The main challenge in off-policy estimation is the distribution shift betw…
cs.LG2023
Farzi Data: Autoregressive Data Distillation
Noveen Sachdeva, Zexue He, Wang-Cheng Kang +3
We study data distillation for auto-regressive machine learning tasks, where the input and output have a strict left-to-right causal structure. More specifically, we propose Farzi,…
cs.LG2023★ 18 cited
Data Distillation: A Survey
Noveen Sachdeva, Julian McAuley
The popularity of deep learning has led to the curation of a vast number of massive and multifarious datasets. Despite having close-to-human performance on individual tasks, traini…