Matthew Joseph
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
6
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Ripple Mechanisms for Discrete and Private Statistics. | Matthew Joseph, Alex Kulesza, Yuyan Wang, Alexander Yu |
| 2025 | ICLR | Privately Counting Partially Ordered Data. | Matthew Joseph, Mnica Ribero, Alexander Yu |
| 2025 | ICML | Approximate Differential Privacy of the ℓ2 Mechanism. | Matthew Joseph, Alex Kulesza, Alexander Yu |
| 2024 | COLT | Some Constructions of Private, Efficient, and Optimal K-Norm and Elliptic Gaussian Noise. | Matthew Joseph, Alexander Yu |
| 2023 | ICLR | Easy Differentially Private Linear Regression. | Kareem Amin, Matthew Joseph, Mnica Ribero, Sergei Vassilvitskii |
| 2022 | ICLR | Shuffle Private Stochastic Convex Optimization. | Albert Cheu, Matthew Joseph, Jieming Mao, Binghui Peng |
| 2022 | ICML | A Joint Exponential Mechanism For Differentially Private Top-k. | Jennifer Gillenwater, Matthew Joseph, Andres Muoz Medina, Mnica Ribero Diaz |
| 2021 | ICML | Differentially Private Quantiles. | Jennifer Gillenwater, Matthew Joseph, Alex Kulesza |
| 2021 | SODA | Connecting Robust Shuffle Privacy and Pan-Privacy. | Victor Balcer, Albert Cheu, Matthew Joseph, Jieming Mao |
| 2020 | COLT | Pan-Private Uniformity Testing. | Kareem Amin, Matthew Joseph, Jieming Mao |
| 2020 | SODA | Exponential Separations in Local Differential Privacy. | Matthew Joseph, Jieming Mao, Aaron Roth |
| 2019 | FOCS | The Role of Interactivity in Local Differential Privacy. | Matthew Joseph, Jieming Mao, Seth Neel, Aaron Roth |
| 2018 | AIES | Meritocratic Fairness for Infinite and Contextual Bandits. | Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth |
| 2017 | ICML | Fairness in Reinforcement Learning. | Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Aaron Roth |