Justin Whitehouse
8 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
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(18)
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Conferences
NIPS (5)
COLT (2)
ICML (1)
Top co-authors
Research topics
Keywords
differential privacy
(2)
causal inference
(1)
adversarial robustness
(1)
online learning
(1)
formal verification
(1)
regret minimization
(1)
gaussian process
(1)
sequential optimization
(1)
kernel ridge regression
(1)
sparse linear regression
(1)
principal component regression
(1)
gaussian noise
(1)
multi-armed bandit
(1)
upper confidence bound
(1)
sublinear regret
(1)
network interference
(1)
neural network verification
(1)
safety property
(1)
treatment effect
(1)
panel datum
(1)
Papers
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes (Extended Abstract)
COLT 2025
Orthogonal Causal Calibration (Extended Abstract)
COLT 2025
Mutli-Armed Bandits with Network Interference
NIPS 2024
Fully-Adaptive Composition in Differential Privacy
ICML 2023
On the Sublinear Regret of GP-UCB
NIPS 2023
Adaptive Principal Component Regression with Applications to Panel Data
NIPS 2023
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints
NIPS 2022
Efficient Formal Safety Analysis of Neural Networks
NIPS 2018