Blake Mason
13 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🏃 Academic Marathon (8) 🐝 Cross-Pollinator (13)
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Hot Topic Early Bird
🌍
Conference Polyglot
(5)
💎
Century Club
(13)
🗃️
Keyword Collector
(64)
📈
Trend Setter
🔥
Unstoppable
(5)
Conferences
NIPS (7)
AISTATS (2)
UAI (2)
AAAI (1)
ICML (1)
Top co-authors
Keywords
experimental design
(3)
stochastic optimization
(3)
metric learning
(3)
generalization bound
(2)
sample complexity
(2)
regret minimization
(2)
best-arm identification
(2)
membership inference
(2)
ordinal embedding
(2)
kernel methods
(2)
multi-armed bandit
(2)
ridge regularization
(2)
pure exploration
(2)
low-rank approximation
(1)
interactive learning
(1)
adaptive sampling
(1)
dimensionality reduction
(1)
information retrieval
(1)
distance estimation
(1)
preference learning
(1)
Papers
Metric Learning in an RKHS
UAI 2025
Experimental Designs for Heteroskedastic Variance
NIPS 2023
A Blessing of Dimensionality in Membership Inference through Regularization
AISTATS 2023
An Experimental Design Approach for Regret Minimization in Logistic Bandits
AAAI 2022
One for All: Simultaneous Metric and Preference Learning over Multiple Users
NIPS 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
NIPS 2022
Nearly Optimal Algorithms for Level Set Estimation
AISTATS 2022
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers
NIPS 2021
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits
ICML 2021
Nearest neighbor search under uncertainty
UAI 2021
Finding All $\epsilon$-Good Arms in Stochastic Bandits
NIPS 2020
Learning Nearest Neighbor Graphs from Noisy Distance Samples
NIPS 2019
Learning Low-Dimensional Metrics
NIPS 2017