Blake Mason
13 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint
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Keyword Champion
(2)
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Trend Setter
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(65)
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(10)
Mathematics & Optimization
(5)
Core Methods
(5)
Learning Types
(5)
Optimization
(5)
Artificial Intelligence
(3)
Application Areas
(2)
Reinforcement Learning
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Paradigms
(1)
Mathematics
(1)
Methods
(1)
Keywords
metric learning
(4)
stochastic optimization
(3)
best arm identification
(3)
sample complexity
(3)
kernel methods
(3)
experimental design
(3)
regret minimization
(2)
multi-armed bandit
(2)
ordinal embedding
(2)
membership inference
(2)
ridge regularization
(2)
reproducing kernel hilbert space
(2)
generalization bound
(2)
pure exploration
(2)
low-rank approximation
(1)
interactive learning
(1)
adaptive sampling
(1)
dimensionality reduction
(1)
information retrieval
(1)
distance estimation
(1)
Papers
Metric Learning in an RKHS
UAI 2025
A Blessing of Dimensionality in Membership Inference through Regularization
AISTATS 2023
Experimental Designs for Heteroskedastic Variance
NeurIPS 2023
An Experimental Design Approach for Regret Minimization in Logistic Bandits
AAAI 2022
Nearly Optimal Algorithms for Level Set Estimation
AISTATS 2022
One for All: Simultaneous Metric and Preference Learning over Multiple Users
NeurIPS 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
NeurIPS 2022
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits
ICML 2021
Nearest neighbor search under uncertainty
UAI 2021
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
NeurIPS 2021
Finding All Ξ΅-Good Arms in Stochastic Bandits
NeurIPS 2020
Learning Nearest Neighbor Graphs from Noisy Distance Samples
NeurIPS 2019
Learning Low-Dimensional Metrics
NeurIPS 2017