Blake Mason

32 papers A* 8A 4B 3Misc 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Metric Learning in an RKHS.
UAI
Gokcan Tatli, Yi Chen, Blake Mason, Robert D. Nowak, Ramya Korlakai Vinayak
2025 J jnl
Metric Learning in an RKHS.
CoRR
Gokcan Tatli, Yi Chen, Blake Mason, Robert D. Nowak, Ramya Korlakai Vinayak
2024 J jnl
Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models.
Mark. Sci.
Lalit Jain, Zhaoqi Li, Erfan Loghmani, Blake Mason, Hema Yoganarasimhan
2023 A conf
A Blessing of Dimensionality in Membership Inference through Regularization.
AISTATS
Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
2023 — conf
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering.
SDU@AAAI
Tavish McDonald, Brian Tsan, Amar Saini, Juanita Ordonez, Luis Gutierrez, Phan Nguyen, Blake Mason, Brenda Ng
2023 A* conf
Experimental Designs for Heteroskedastic Variance.
NeurIPS
Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain
2022 A* conf
An Experimental Design Approach for Regret Minimization in Logistic Bandits.
AAAI
Blake Mason, Kwang-Sung Jun, Lalit Jain
2022 J jnl
An Experimental Design Approach for Regret Minimization in Logistic Bandits.
CoRR
Blake Mason, Kwang-Sung Jun, Lalit Jain
2022 J jnl
Benign Overparameterization in Membership Inference with Early Stopping.
CoRR
Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
2022 J jnl
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering.
CoRR
Tavish McDonald, Brian Tsan, Amar Saini, Juanita Ordonez, Luis Gutierrez, Phan Nguyen, Blake Mason, Brenda Ng
2022 Misc conf
NFT-K: Non-Fungible Tangent Kernels.
ICASSP
Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
2022 A conf
Nearly Optimal Algorithms for Level Set Estimation.
AISTATS
Blake Mason, Lalit K. Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin Jamieson, Robert D. Nowak
2022 A* conf
One for All: Simultaneous Metric and Preference Learning over Multiple Users.
NeurIPS
Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak
2022 J jnl
One for All: Simultaneous Metric and Preference Learning over Multiple Users.
CoRR
Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert D. Nowak
2022 A* conf
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference.
NeurIPS
Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk
2022 J jnl
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference.
CoRR
Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk
2021 A* conf
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits.
ICML
Kwang-Sung Jun, Lalit Jain, Houssam Nassif, Blake Mason
2021 J jnl
NFT-K: Non-Fungible Tangent Kernels.
CoRR
Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk
2021 J jnl
Nearest Neighbor Search Under Uncertainty.
CoRR
Blake Mason, Ardhendu Tripathy, Robert D. Nowak
2021 A conf
Nearest neighbor search under uncertainty.
UAI
Blake Mason, Ardhendu Tripathy, Robert Nowak
2021 J jnl
Nearly Optimal Algorithms for Level Set Estimation.
CoRR
Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert D. Nowak, Lalit K. Jain
2021 A* conf
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers.
NeurIPS
Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Robert Nowak
2021 J jnl
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers.
CoRR
Julian Katz-Samuels, Blake Mason, Kevin Jamieson, Robert D. Nowak
2020 A* conf
Finding All $\epsilon$-Good Arms in Stochastic Bandits.
NeurIPS
Blake Mason, Lalit K. Jain, Ardhendu Tripathy, Robert Nowak
2020 J jnl
Finding All ε-Good Arms in Stochastic Bandits.
CoRR
Blake Mason, Lalit K. Jain, Ardhendu Tripathy, Robert D. Nowak
2019 J jnl
Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods.
Cogn. Sci.
Blake Mason, Martina A. Rau, Robert D. Nowak
2019 A* conf
Learning Nearest Neighbor Graphs from Noisy Distance Samples.
NeurIPS
Blake Mason, Ardhendu Tripathy, Robert D. Nowak
2019 J jnl
Learning Nearest Neighbor Graphs from Noisy Distance Samples.
CoRR
Blake Mason, Ardhendu Tripathy, Robert D. Nowak
2018 B conf
For Teaching Perceptual Fluency, Machines Beat Human Experts.
CogSci
Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Jerry Zhu
2018 B conf
Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice.
EDM
Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Xiaojin Zhu
2017 — conf
Learning Low-Dimensional Metrics.
NIPS
Blake Mason, Lalit K. Jain, Robert D. Nowak
2016 B conf
How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations.
EDM
Martina A. Rau, Blake Mason, Robert D. Nowak