← Authors

Blake Mason

13 papers · 2017–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (25) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (5) πŸ’Ž Century Club (13) πŸ—ƒοΈ Keyword Collector (64) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5)

Conferences

NIPS (7) AISTATS (2) UAI (2) AAAI (1) ICML (1)

Top co-authors

Robert Nowak (6) Lalit Jain (6) Ardhendu Tripathy (3) Ramya Korlakai Vinayak (2) houssam nassif (2) Jasper Tan (2) Hamid Javadi (2) Kwang-Sung Jun (2) Tanner Fiez (1) Justin Weltz (1)

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