Sampling matrices from Harish-Chandra–Itzykson–Zuber densities with applications to Quantum inference and differential privacy-Reference-Cited by-同舟云学术

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Sampling matrices from Harish-Chandra–Itzykson–Zuber densities with applications to Quantum inference and differential privacy

Published:2021-06-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
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Author:

Leake Jonathan¹,McSwiggen Colin²,Vishnoi Nisheeth K.³

Affiliation:

1. TU Berlin, Germany

2. University of Tokyo, Japan

3. Yale University, USA

Funder

Japan Science and Technology Agency

Deutsche Forschungsgemeinschaft

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3406325.3451094

Reference38 articles.

1. New information-theoretic foundations for quantum statistics

2. GUEs and queues

3. Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds

4. The ising model on a random planar lattice: The structure of the phase transition and the exact critical exponents

5. Conditioning as disintegration

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1. Practical sampling of constraint-based models: Optimized thinning boosts CHRR performance;PLOS Computational Biology;2023-08-11

2. Generalized deep thermalization for free fermions;Physical Review A;2023-03-22

3. On the Computability of Continuous Maximum Entropy Distributions with Applications;SIAM Journal on Computing;2022-10-28

4. Enhanced Privacy Preserving for Social Networks Relational Data Based on Personalized Differential Privacy;Chinese Journal of Electronics;2022-07

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