285 citations · 784 across the 27 of their papers we have counts for
3 papers · 1 filter
Optimal Inference After Model Selection
William Fithian, Dennis Sun, Jonathan Taylor
To perform inference after model selection, we propose controlling the selective type I error; i.e., the error rate of a test given that it was performed. By doing so, we recover l…
Altitude Training: Strong Bounds for Single-Layer Dropout
Stefan Wager, William Fithian, Sida Wang +1
Dropout training, originally designed for deep neural networks, has been successful on high-dimensional single-layer natural language tasks. This paper proposes a theoretical expla…
Bias Correction in Species Distribution Models: Pooling Survey and Collection Data for Multiple Species
William Fithian, Jane Elith, Trevor Hastie +1
Presence-only records may provide data on the distributions of rare species, but commonly suffer from large, unknown biases due to their typically haphazard collection schemes. Pre…