855 citations · 2.9k across the 86 of their papers we have counts for
Showing 2018 · cs.LGShow all
3 papers · 2 filters
cs.LG2018★ 67 cited
Generalizable Adversarial Training via Spectral Normalization
Farzan Farnia, Jesse M. Zhang, David Tse
Deep neural networks (DNNs) have set benchmarks on a wide array of supervised learning tasks. Trained DNNs, however, often lack robustness to minor adversarial perturbations to the…
cs.LG2018★ 38 cited
A Convex Duality Framework for GANs
Farzan Farnia, David Tse
Generative adversarial network (GAN) is a minimax game between a generator mimicking the true model and a discriminator distinguishing the samples produced by the generator from th…
cs.LG2018
Bandit-Based Monte Carlo Optimization for Nearest Neighbors
Vivek Bagaria, Tavor Z. Baharav, Govinda M. Kamath +1
The celebrated Monte Carlo method estimates an expensive-to-compute quantity by random sampling. Bandit-based Monte Carlo optimization is a general technique for computing the mini…