167 citations · 339 across the 26 of their papers we have counts for
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cs.LG2019★ 3 cited
Deep Kernels with Probabilistic Embeddings for Small-Data Learning
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura +2
Gaussian Processes (GPs) are known to provide accurate predictions and uncertainty estimates even with small amounts of labeled data by capturing similarity between data points thr…
cs.LG2019★ 20 cited
MLSys: The New Frontier of Machine Learning Systems
Alexander Ratner, Dan Alistarh, Gustavo Alonso +66
Machine learning (ML) techniques are enjoying rapidly increasing adoption. However, designing and implementing the systems that support ML models in real-world deployments remains…