Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Correlated Noise Provably Beats Independent Noise for Differentially Private Learning.

C. Choquette-Choo, K. Dvijotham, K. Pillutla, A. Ganesh, T. Steinke, and A. Thakurta. CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Thakurta, Abhradeep

add a person with the name Thakurta, Abhradeep

Other publications of authors with the same name

Differentially Private Matrix Completion, Revisited.P. Jain, O. Thakkar, and A. Thakurta. CoRR, (2017)Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry.K. Talwar, A. Thakurta, and L. Zhang. CoRR, (2014)Private Convex Optimization for Empirical Risk Minimization with Applications to High-dimensional Regression.D. Kifer, A. Smith, and A. Thakurta. COLT, volume 23 of JMLR Proceedings, page 25.1-25.40. JMLR.org, (2012)Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation.G. Brown, K. Dvijotham, G. Evans, D. Liu, A. Smith, and A. Thakurta. CoRR, (2024)Faster Differentially Private Convex Optimization via Second-Order Methods.A. Ganesh, M. Haghifam, T. Steinke, and A. Thakurta. CoRR, (2023)Toward Training at ImageNet Scale with Differential Privacy.A. Kurakin, S. Chien, S. Song, R. Geambasu, A. Terzis, and A. Thakurta. CoRR, (2022)Differentially Private Stream Processing at Scale.B. Zhang, V. Doroshenko, P. Kairouz, T. Steinke, A. Thakurta, Z. Ma, H. Apte, and J. Spacek. CoRR, (2023)Differentially Private Image Classification from Features.H. Mehta, W. Krichene, A. Thakurta, A. Kurakin, and A. Cutkosky. CoRR, (2022)Practical and Private (Deep) Learning Without Sampling or Shuffling.P. Kairouz, B. McMahan, S. Song, O. Thakkar, A. Thakurta, and Z. Xu. ICML, volume 139 of Proceedings of Machine Learning Research, page 5213-5225. PMLR, (2021)(Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping.P. Varshney, A. Thakurta, and P. Jain. COLT, volume 178 of Proceedings of Machine Learning Research, page 1126-1166. PMLR, (2022)

BibSonomy

Disambiguation of "Thakurta, Abhradeep"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Correlated Noise Provably Beats Independent Noise for Differentially Private Learning.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Thakurta, Abhradeep"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Correlated Noise Provably Beats Independent Noise for Differentially Private Learning.

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Correlated Noise Provably Beats Independent Noise for Differentially Private Learning.