Andrés Muñoz Medina

Peilin Zhong

Proc. ACM Manag. Data, 2023

DP-SGD for non-decomposable objective functions.

[BibT_eX]

[DOI]

William Kong

Mónica Ribero

CoRR, 2023

RényiTester: A Variational Approach to Testing Differential Privacy.

[BibT_eX]

[DOI]

William Kong

Mónica Ribero

CoRR, 2023

A Unified Fast Gradient Clipping Framework for DP-SGD.

[BibT_eX]

[DOI]

Weiwei Kong

Róbert Istvan Busa-Fekete

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Easy Learning from Label Proportions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentially Private Continual Releases of Streaming Frequency Moment Estimations.

[BibT_eX]

[DOI]

Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

Label differential privacy and private training data release.

[BibT_eX]

[DOI]

Umar Syed

Proceedings of the International Conference on Machine Learning, 2023

2022

Smooth Anonymity for Sparse Binary Matrices.

[BibT_eX]

[DOI]

CoRR, 2022

Statistical anonymity: Quantifying reidentification risks without reidentifying users.

[BibT_eX]

[DOI]

Gecia Bravo Hermsdorff

CoRR, 2022

Private and Communication-Efficient Algorithms for Entropy Estimation.

[BibT_eX]

[DOI]

Gecia Bravo Hermsdorff

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scalable Differentially Private Clustering via Hierarchically Separated Trees.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Joint Exponential Mechanism For Differentially Private Top-k.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Clustering for Private Interest-based Advertising.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Private optimization without constraint violations.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism.

[BibT_eX]

[DOI]

Jenny Gillenwater

CoRR, 2020

2019

Adaptation Based on Generalized Discrepancy.

[BibT_eX]

[DOI]

Corinna Cortes

J. Mach. Learn. Res., 2019

Differentially Private Covariance Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Testing Incentive Compatibility in Display Ad Auctions.

[BibT_eX]

[DOI]

Sébastien Lahaie

Balasubramanian Sivan

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Online Learning for Non-Stationary A/B Tests.

[BibT_eX]

[DOI]

Dong Yin

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Revenue Optimization with Approximate Bid Predictions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Learning Algorithms for Second-Price Auctions with Reserve.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

No-Regret Algorithms for Heavy-Tailed Linear Bandits.

[BibT_eX]

[DOI]

Scott Yang

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Non-parametric Revenue Optimization for Generalized Second Price auctions..

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Revenue Optimization against Strategic Buyers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Adaptation Algorithm and Theory Based on Generalized Discrepancy.

[BibT_eX]

[DOI]

Corinna Cortes

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Revenue Optimization in Posted-Price Auctions with Strategic Buyers.

[BibT_eX]

[DOI]

CoRR, 2014

Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning Theory and Algorithms for revenue optimization in second price auctions with reserve.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

2012

New Analysis and Algorithm for Learning with Drifting Distributions.

[BibT_eX]

[DOI]