random projection
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Don't take it lightly: Phasing optical random projections with unknown operators
Sidharth Gupta, Remi Gribonval, Laurent Daudet, Ivan Dokmanić
In this paper we tackle the problem of recovering the phase of complex linear measurements whenonlymagnitude information isavailableandwecontrol the input. We are motivated by the recent development of dedicated optics-based hardware for rapid random projections which leverages the propagation of light inrandom media.
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Random Projections with Asymmetric Quantization
Neural Information Processing Systems http://nips.cc/
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Scaling provable adversarial defenses
Eric Wong, Frank Schmidt, Jan Hendrik Metzen, J. Zico Kolter
Neural Information Processing Systems http://nips.cc/
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Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss
In the existing literature, a common approach to approximate the metric is to first find a map that preserves Euclidean lengths instead of distances.
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Smooth Flipping Probability for Differentially Private Sign Random Projection Methods
Then, we propose a series of DP-SignRP algorithms that leverage the robustness of the "sign flipping probability" of random projections.
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Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
The important steps to formulate our approximate SW are summarized as follows.
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