Blake Mason

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 29

Top Topics

Preference Learning

Visual Representations

Nearest Neighbor

Confidence Bounds

Top Venues

Publications

Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
A Blessing of Dimensionality in Membership Inference through Regularization. AISTATS (2023)
Tavish McDonald, Brian Tsan, Amar Saini, Juanita Ordonez, Luis Gutierrez, Phan Nguyen, Blake Mason, Brenda Ng
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering. SDU@AAAI (2023)
Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain
Experimental Designs for Heteroskedastic Variance. NeurIPS (2023)
Tavish McDonald, Brian Tsan, Amar Saini, Juanita Ordonez, Luis Gutierrez, Phan Nguyen, Blake Mason, Brenda Ng
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering. CoRR (2022)
Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
NFT-K: Non-Fungible Tangent Kernels. ICASSP (2022)
Blake Mason, Lalit Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin G. Jamieson, Robert D. Nowak
Nearly Optimal Algorithms for Level Set Estimation. AISTATS (2022)
Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak
One for All: Simultaneous Metric and Preference Learning over Multiple Users. NeurIPS (2022)
Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
Benign Overparameterization in Membership Inference with Early Stopping. CoRR (2022)
Blake Mason, Kwang-Sung Jun, Lalit Jain
An Experimental Design Approach for Regret Minimization in Logistic Bandits. AAAI (2022)
Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. NeurIPS (2022)
Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert D. Nowak
One for All: Simultaneous Metric and Preference Learning over Multiple Users. CoRR (2022)
Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. CoRR (2022)
Blake Mason, Kwang-Sung Jun, Lalit Jain
An Experimental Design Approach for Regret Minimization in Logistic Bandits. CoRR (2022)
Blake Mason, Ardhendu Tripathy, Robert Nowak
Nearest neighbor search under uncertainty. UAI (2021)
Blake Mason, Ardhendu Tripathy, Robert D. Nowak
Nearest Neighbor Search Under Uncertainty. CoRR (2021)
Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
NFT-K: Non-Fungible Tangent Kernels. CoRR (2021)
Kwang-Sung Jun, Lalit Jain, Houssam Nassif, Blake Mason
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits. ICML (2021)
Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Robert D. Nowak
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers. CoRR (2021)
Julian Katz-Samuels, Blake Mason, Kevin G. Jamieson, Robert Nowak
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers. NeurIPS (2021)
Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert D. Nowak, Lalit Jain
Nearly Optimal Algorithms for Level Set Estimation. CoRR (2021)
Blake Mason, Lalit Jain, Ardhendu Tripathy, Robert Nowak
Finding All $\epsilon$-Good Arms in Stochastic Bandits. NeurIPS (2020)
Blake Mason, Lalit Jain, Ardhendu Tripathy, Robert D. Nowak
Finding All ε-Good Arms in Stochastic Bandits. CoRR (2020)
Blake Mason, Ardhendu Tripathy, Robert D. Nowak
Learning Nearest Neighbor Graphs from Noisy Distance Samples. NeurIPS (2019)
Blake Mason, Ardhendu Tripathy, Robert D. Nowak
Learning Nearest Neighbor Graphs from Noisy Distance Samples. CoRR (2019)
Blake Mason, Martina A. Rau, Robert D. Nowak
Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods. Cogn. Sci. 43 (9) (2019)
Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Xiaojin Zhu
Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice. EDM (2018)
Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Jerry Zhu
For Teaching Perceptual Fluency, Machines Beat Human Experts. CogSci (2018)
Blake Mason, Lalit Jain, Robert D. Nowak
Learning Low-Dimensional Metrics. NIPS (2017)
Martina A. Rau, Blake Mason, Robert D. Nowak
How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations. EDM (2016)