Justin Whitehouse
8 papers · 2018–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Core AI
(3)
Learning Types
(3)
Optimization
(3)
Application Areas
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Security & Privacy
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Differential Privacy
(1)
Keywords
differential privacy
(2)
adversarial robustness
(1)
upper confidence bound
(1)
calibration
(1)
formal verification
(1)
regret minimization
(1)
gaussian process
(1)
online linear regression
(1)
sequential optimization
(1)
kernel ridge regression
(1)
sparse linear regression
(1)
principal component regression
(1)
gaussian noise
(1)
multi-armed bandit
(1)
online learning
(1)
sublinear regret
(1)
privacy-utility trade-off
(1)
network interference
(1)
neural network verification
(1)
causal inference
(1)
Papers
Orthogonal Causal Calibration (Extended Abstract)
COLT 2025
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes (Extended Abstract)
COLT 2025
Mutli-Armed Bandits with Network Interference
NeurIPS 2024
Adaptive Principal Component Regression with Applications to Panel Data
NeurIPS 2023
Fully-Adaptive Composition in Differential Privacy
ICML 2023
On the Sublinear Regret of GP-UCB
NeurIPS 2023
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints
NeurIPS 2022
Efficient Formal Safety Analysis of Neural Networks
NeurIPS 2018