← Authors

Matthew Joseph

13 papers · 2016–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (14) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (9) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) πŸ’Ž Century Club (13)

Conferences

ICML (4) NIPS (4) ICLR (3) COLT (2)

Top co-authors

Jieming Mao (3) Jennifer Gillenwater (3) Aaron Roth (3) Alexander Yu (3) Alex Kulesza (2) Michael Kearns (2) MΓ³nica Ribero (2) Kareem Amin (2) Jamie Morgenstern (1) Bo Waggoner (1)

Research topics

Differential Privacy (4)

Keywords

differential privacy (6) exponential mechanism (2) local privacy (2) local differential privacy (2) fairness constraint (2) sensitivity analysis (1) optimal policy (1) linear regression (1) top-k ranking (1) quantile estimation (1) privacy-preserving data analysis (1) multi-armed bandit (1) regret bound (1) learning algorithm (1) contextual bandit (1) adaptive algorithm (1) lower bound (1) privacy budget (1) privacy guarantee (1) top-k selection (1)

Papers

Approximate Differential Privacy of the $\ell_2$ Mechanism ICML 2025
Privately Counting Partially Ordered Data ICLR 2025
Some Constructions of Private, Efficient, and Optimal $K$-Norm and Elliptic Gaussian Noise COLT 2024
Better Private Linear Regression Through Better Private Feature Selection NIPS 2023
Easy Differentially Private Linear Regression ICLR 2023
Shuffle Private Stochastic Convex Optimization ICLR 2022
A Joint Exponential Mechanism For Differentially Private Top-$k$ ICML 2022
Differentially Private Quantiles ICML 2021
Pan-Private Uniformity Testing COLT 2020
Locally Private Gaussian Estimation NIPS 2019
Local Differential Privacy for Evolving Data NIPS 2018
Fairness in Reinforcement Learning ICML 2017
Fairness in Learning: Classic and Contextual Bandits NIPS 2016