1 citations · 1 across the 5 of their papers we have counts for
5 papers
On the global convergence of gradient flow for wide shallow models beyond homogeneous nonlinearities
Romain Petit, Clarice Poon, Gabriel Peyré
A surprising phenomenon in the training of neural networks is the ability of gradient descent to find global minimizers of the training loss despite its non-convexity. Following ea…
Second-order geometry of optimal transport: cost identifiability and stability
Gabriel Peyré, Clarice Poon, Oscar Tron
We study the optimal transport value as a functional of the ground cost. Although this functional is an infimum of linear functionals and is therefore polyhedral for finitely suppo…
Hadamard Langevin dynamics for sampling the l1-prior
Ivan Cheltsov, Federico Cornalba, Clarice Poon +1
Priors with non-smooth log-densities, such as the l1-prior, are widely used in Bayesian inverse problems for their sparsity-inducing properties. Existing Langevin-based sampling me…
Compressed online Sinkhorn
Fengpei Wang, Clarice Poon, Tony Shardlow
The use of optimal transport (OT) distances, and in particular entropic-regularised OT distances, is an increasingly popular evaluation metric in many areas of machine learning and…
On the role of total variation in compressed sensing - structure dependence
Clarice Poon
This paper considers the use of total variation regularization in the recovery of approximately gradient sparse signals from their noisy discrete Fourier samples in the context of…