599 citations · 1.6k across the 13 of their papers we have counts for
4 papers · 1 filter
Discovering Causal Signals in Images
David Lopez-Paz, Robert Nishihara, Soumith Chintala +2
This paper establishes the existence of observable footprints that reveal the "causal dispositions" of the object categories appearing in collections of images. We achieve this goa…
SparkNet: Training Deep Networks in Spark
Philipp Moritz, Robert Nishihara, Ion Stoica +1
Training deep networks is a time-consuming process, with networks for object recognition often requiring multiple days to train. For this reason, leveraging the resources of a clus…
No Regret Bound for Extreme Bandits
Robert Nishihara, David Lopez-Paz, Léon Bottou
Algorithms for hyperparameter optimization abound, all of which work well under different and often unverifiable assumptions. Motivated by the general challenge of sequentially cho…
Detecting Parameter Symmetries in Probabilistic Models
Robert Nishihara, Thomas Minka, Daniel Tarlow
Probabilistic models often have parameters that can be translated, scaled, permuted, or otherwise transformed without changing the model. These symmetries can lead to strong correl…