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- A&C seminar: Argyris Mouzakis - Optimal Differentially Priva: Featured content with 72 views.
- Differentially Private Sampling from Distributions: Featured content with 810 views.
- On the Sample Complexity of Privately Learning Unbounded Gau: Featured content with 105 views.
- Academic Keynote: Differentially Private Covariance-Adaptive: Featured content with 304 views.
- Lecture 15B: Private Mean Estimation - Near-Optimal Univaria: Featured content with 611 views.
Abstract: We provide the first $\widetilde{\mathcal{O}}(d)$-...
A Google TechTalk, presented by Marika Swanberg, 2023-08-22 Google Algorithms ...
A Google TechTalk, presented by Adam Smith, 2021/11/9 ABSTRACT: ...
For accompanying lecture notes and readings, see the course website: http://www.gautamkamath.com/CS860-fa2020.html....
Joshua Snoke (RAND Corporation) https://simons.berkeley.edu/talks/tba-51 Data Privacy: From Foundations to Applications....
The paper associated with this ICRA 2025 talk shows how to marginalize and condition ...
We prove that any random distribution satisfying conformal invariance and a form of domain Markov property and having a finite ......
Title : Exploration vs Exploitation: The Art of Acquisition Functions in Bayesian Optimisation SPAAM ...
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Differentially Private Sampling from Distributions
A Google TechTalk, presented by Marika Swanberg, 2023-08-22 Google Algorithms
On the Sample Complexity of Privately Learning Unbounded Gaussians
The 32nd International
Academic Keynote: Differentially Private Covariance-Adaptive Mean Estimation, Adam Smith
A Google TechTalk, presented by Adam Smith, 2021/11/9 ABSTRACT:
Lecture 15B: Private Mean Estimation - Near-Optimal Univariate Gaussians
For accompanying lecture notes and readings, see the course website: http://www.gautamkamath.com/CS860-fa2020.html.
Dr. Ardjen Pengel | Gaussian Approximation and Output Analysis for High-Dimensional MCMC
Title:
pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity
Joshua Snoke (RAND Corporation) https://simons.berkeley.edu/talks/tba-51 Data Privacy: From Foundations to Applications.
Marginalizing and Conditioning Gaussians @ ICRA 2025
The paper associated with this ICRA 2025 talk shows how to marginalize and condition
Pacific Northwest Probability Seminar: A Characterization Theorem for the Gaussian Free Field
We prove that any random distribution satisfying conformal invariance and a form of domain Markov property and having a finite ...
The Art of Acquisition Functions in Bayesian Optimisation
Title : Exploration vs Exploitation: The Art of Acquisition Functions in Bayesian Optimisation SPAAM
Offset-Symmetric Gaussians for Differential Privacy
Talk by Dr Mehdi Korki (Swinburn University) in AusCTW Webinar Series on 19th November 2021. For more information visit: ...
Mokhtar Alaya:Gaussian-Smoothed Divergences for Private Distribution Learning and Domain Adaptation
Abstract:
Stochastics and Statistics Seminar - Fall 2020 - Richard Nickl, University of Cambridge
Bayesian inverse problems,