Matthew Joseph
13 papers · 2016–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4) π Cross-Pollinator (9)
π
Conference Polyglot
(4)
π
Academic Marathon
(9)
π
Cross-Pollinator
(9)
π
Trend Setter
π₯
Unstoppable
(10)
π
Century Club
(13)
Conferences
ICML (4)
NIPS (4)
ICLR (3)
COLT (2)
Top co-authors
Research topics
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