32 citations · 74 across the 17 of their papers we have counts for
3 papers · 1 filter
Gaussian mixture layers for neural networks
Sinho Chewi, Philippe Rigollet, Yuling Yan
The mean-field theory for two-layer neural networks considers infinitely wide networks that are linearly parameterized by a probability measure over the parameter space. This nonpa…
Learning threshold neurons via the "edge of stability"
Kwangjun Ahn, Sébastien Bubeck, Sinho Chewi +3
Existing analyses of neural network training often operate under the unrealistic assumption of an extremely small learning rate. This lies in stark contrast to practical wisdom and…
Rejection sampling from shape-constrained distributions in sublinear time
Sinho Chewi, Patrik Gerber, Chen Lu +2
We consider the task of generating exact samples from a target distribution, known up to normalization, over a finite alphabet. The classical algorithm for this task is rejection s…