296 citations · 1.7k across the 43 of their papers we have counts for
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Provable quantum state tomography via non-convex methods
Anastasios Kyrillidis, Amir Kalev, Dohuyng Park +3
With nowadays steadily growing quantum processors, it is required to develop new quantum tomography tools that are tailored for high-dimensional systems. In this work, we describe…
Exploring Generalization in Deep Learning
Behnam Neyshabur, Srinadh Bhojanapalli, David McAllester +1
With a goal of understanding what drives generalization in deep networks, we consider several recently suggested explanations, including norm-based control, sharpness and robustnes…
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro
We present a generalization bound for feedforward neural networks in terms of the product of the spectral norm of the layers and the Frobenius norm of the weights. The generalizati…
Implicit Regularization in Matrix Factorization
Suriya Gunasekar, Blake Woodworth, Srinadh Bhojanapalli +2
We study implicit regularization when optimizing an underdetermined quadratic objective over a matrix with gradient descent on a factorization of . We conjecture and provide…
Stabilizing GAN Training with Multiple Random Projections
Behnam Neyshabur, Srinadh Bhojanapalli, Ayan Chakrabarti
Training generative adversarial networks is unstable in high-dimensions as the true data distribution tends to be concentrated in a small fraction of the ambient space. The discrim…