Blake Mason

According to our database, Blake Mason authored at least 20 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Experimental Designs for Heteroskedastic Variance.

Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Blessing of Dimensionality in Membership Inference through Regularization.

Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering.

Tavish McDonald, Brian Tsan, Amar Saini, Juanita Ordonez, Luis Gutierrez, Phan Nguyen, Blake Mason, Brenda Ng

Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 2023

2022

Benign Overparameterization in Membership Inference with Early Stopping.

Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk

CoRR, 2022

Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference.

Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

One for All: Simultaneous Metric and Preference Learning over Multiple Users.

Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NFT-K: Non-Fungible Tangent Kernels.

Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2022

Nearly Optimal Algorithms for Level Set Estimation.

Blake Mason, Lalit Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin G. Jamieson, Robert D. Nowak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

An Experimental Design Approach for Regret Minimization in Logistic Bandits.

Blake Mason, Kwang-Sung Jun, Lalit Jain

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Nearest neighbor search under uncertainty.

Blake Mason, Ardhendu Tripathy, Robert Nowak

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers.

Julian Katz-Samuels, Blake Mason, Kevin G. Jamieson, Robert Nowak

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits.

Kwang-Sung Jun, Lalit Jain, Houssam Nassif, Blake Mason

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Finding All ε-Good Arms in Stochastic Bandits.

Blake Mason, Lalit Jain, Ardhendu Tripathy, Robert D. Nowak

CoRR, 2020

Finding All $\epsilon$-Good Arms in Stochastic Bandits.

Blake Mason, Lalit Jain, Ardhendu Tripathy, Robert Nowak

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Cognitive Task Analysis for Implicit Knowledge About Visual Representations With Similarity Learning Methods.

Blake Mason, Martina A. Rau, Robert D. Nowak

Cogn. Sci., 2019

Learning Nearest Neighbor Graphs from Noisy Distance Samples.

Blake Mason, Ardhendu Tripathy, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice.

Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Xiaojin Zhu

Proceedings of the 11th International Conference on Educational Data Mining, 2018

For Teaching Perceptual Fluency, Machines Beat Human Experts.

Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Jerry Zhu

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017

Learning Low-Dimensional Metrics.

Blake Mason, Lalit Jain, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations.

Martina A. Rau, Blake Mason, Robert D. Nowak

Proceedings of the 9th International Conference on Educational Data Mining, 2016