Jordan Awan
13 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (3) π Academic Marathon (7) π Cross-Pollinator (8)
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Interdisciplinary Bridge
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Conference Polyglot
(3)
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Academic Marathon
(7)
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Keyword Champion
(3)
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Deep Specialist
(12)
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Century Club
(13)
ποΈ
Keyword Collector
(57)
Conferences
JMLR (6)
NIPS (5)
ICML (2)
Top co-authors
Research topics
Keywords
differential privacy
(12)
statistical inference
(3)
exponential mechanism
(3)
markov chain monte carlo
(2)
statistical estimation
(2)
privacy mechanism
(2)
bayesian inference
(1)
convex optimization
(1)
causal inference
(1)
local privacy
(1)
posterior distribution
(1)
gaussian process
(1)
hilbert space
(1)
hypothesis testing
(1)
stochastic dominance
(1)
probability measure
(1)
topological data analysis
(1)
sensitivity analysis
(1)
data augmentation
(1)
bayesian nonparametrics
(1)
Papers
Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
JMLR 2025
Optimal Survey Design for Private Mean Estimation
ICML 2025
Locally Private Causal Inference for Randomized Experiments
JMLR 2025
Best Linear Unbiased Estimate from Privatized Contingency Tables
JMLR 2025
Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance
JMLR 2024
Differentially Private Topological Data Analysis
JMLR 2024
Privacy-Aware Rejection Sampling
JMLR 2023
Data Augmentation MCMC for Bayesian Inference from Privatized Data
NIPS 2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy
NIPS 2022
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
ICML 2019
Elliptical Perturbations for Differential Privacy
NIPS 2019
KNG: The K-Norm Gradient Mechanism
NIPS 2019
Differentially Private Uniformly Most Powerful Tests for Binomial Data
NIPS 2018