42 citations · 62 across the 5 of their papers we have counts for
6 papers
Tight Second-Order Certificates for Randomized Smoothing
Alexander Levine, Aounon Kumar, Thomas Goldstein +1
Randomized smoothing is a popular way of providing robustness guarantees against adversarial attacks: randomly-smoothed functions have a universal Lipschitz-like bound, allowing fo…
ShapeFit and ShapeKick for Robust, Scalable Structure from Motion
Thomas Goldstein, Paul Hand, Choongbum Lee +2
We introduce a new method for location recovery from pair-wise directions that leverages an efficient convex program that comes with exact recovery guarantees, even in the presence…
Adaptive ADMM with Spectral Penalty Parameter Selection
Zheng Xu, Mario A. T. Figueiredo, Tom Goldstein
The alternating direction method of multipliers (ADMM) is a versatile tool for solving a wide range of constrained optimization problems, with differentiable or non-differentiable…
Layer-Specific Adaptive Learning Rates for Deep Networks
Bharat Singh, Soham De, Yangmuzi Zhang +2
The increasing complexity of deep learning architectures is resulting in training time requiring weeks or even months. This slow training is due in part to vanishing gradients, in…
oASIS: Adaptive Column Sampling for Kernel Matrix Approximation
Raajen Patel, Thomas A. Goldstein, Eva L. Dyer +2
Kernel matrices (e.g. Gram or similarity matrices) are essential for many state-of-the-art approaches to classification, clustering, and dimensionality reduction. For large dataset…
Fast Sublinear Sparse Representation using Shallow Tree Matching Pursuit
Ali Ayremlou, Thomas Goldstein, Ashok Veeraraghavan +1
Sparse approximations using highly over-complete dictionaries is a state-of-the-art tool for many imaging applications including denoising, super-resolution, compressive sensing, l…