Jordan Awan
13 papers · 2018–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
๐ฃ Hot Topic Early Bird ๐บ๏ธ Taxonomy Completionist (18) ๐ Academic Marathon ยท Sprint ๐ Conference Polyglot ยท Bronze ๐ Interdisciplinary Bridge ยท Silver
๐งฌ
Topic Evolution
๐ฌ
Deep Specialist
(12)
๐
Keyword Champion
๐๏ธ
Keyword Collector
(62)
๐
Century Club ยท Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Application Areas
(12)
Mathematics & Optimization
(10)
Mathematics
(8)
Security & Privacy
(7)
Differential Privacy
(7)
Optimization & Theory
(6)
Optimization
(4)
Statistics
(3)
Artificial Intelligence
(2)
Probability
(2)
Knowledge & Reasoning
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Reasoning
(1)
Keywords
differential privacy
(13)
statistical inference
(3)
exponential mechanism
(3)
markov chain monte carlo
(2)
privacy mechanism
(2)
statistical estimation
(2)
bayesian inference
(1)
convex optimization
(1)
causal inference
(1)
stochastic dominance
(1)
posterior distribution
(1)
gaussian process
(1)
hilbert space
(1)
hypothesis testing
(1)
sensitivity analysis
(1)
topological data analysis
(1)
stratified sampling
(1)
probability measure
(1)
data augmentation
(1)
bayesian nonparametrics
(1)
Papers
Best Linear Unbiased Estimate from Privatized Contingency Tables
JMLR 2025
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
JMLR 2025
Locally Private Causal Inference for Randomized Experiments
JMLR 2025
Optimal Survey Design for Private Mean Estimation
ICML 2025
Differentially Private Topological Data Analysis
JMLR 2024
Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance
JMLR 2024
Privacy-Aware Rejection Sampling
JMLR 2023
Data Augmentation MCMC for Bayesian Inference from Privatized Data
NeurIPS 2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy
NeurIPS 2022
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
ICML 2019
Elliptical Perturbations for Differential Privacy
NeurIPS 2019
KNG: The K-Norm Gradient Mechanism
NeurIPS 2019
Differentially Private Uniformly Most Powerful Tests for Binomial Data
NeurIPS 2018