55 citations · 84 across the 14 of their papers we have counts for
9 papers · 1 filter
Distributionally Robust Optimization with Bias and Variance Reduction
Ronak Mehta, Vincent Roulet, Krishna Pillutla +1
We consider the distributionally robust optimization (DRO) problem with spectral risk-based uncertainty set and -divergence penalty. This formulation includes common risk-sensit…
Score-Based Change Detection for Gradient-Based Learning Machines
Lang Liu, Joseph Salmon, Zaid Harchaoui
The widespread use of machine learning algorithms calls for automatic change detection algorithms to monitor their behavior over time. As a machine learning algorithm learns from a…
Harmonic Decompositions of Convolutional Networks
Meyer Scetbon, Zaid Harchaoui
We present a description of the function space and the smoothness class associated with a convolutional network using the machinery of reproducing kernel Hilbert spaces. We show th…
A Spectral Analysis of Dot-product Kernels
Meyer Scetbon, Zaid Harchaoui
We present eigenvalue decay estimates of integral operators associated with compositional dot-product kernels. The estimates improve on previous ones established for power series k…
A Statistical Investigation of Long Memory in Language and Music
Alexander Greaves-Tunnell, Zaid Harchaoui
Representation and learning of long-range dependencies is a central challenge confronted in modern applications of machine learning to sequence data. Yet despite the prominence of…
Kernel-based Translations of Convolutional Networks
Corinne Jones, Vincent Roulet, Zaid Harchaoui
Convolutional Neural Networks, as most artificial neural networks, are commonly viewed as methods different in essence from kernel-based methods. We provide a systematic translatio…