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2020 – today
- 2024
[j2]Lalit Jain
, Zhaoqi Li, Erfan Loghmani, Blake Mason, Hema Yoganarasimhan:
Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models. Mark. Sci. 43(5): 1002-1030 (2024)- 2023
- [c17]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 - [c16]Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
A Blessing of Dimensionality in Membership Inference through Regularization. AISTATS 2023: 10968-10993 - [c15]Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain:
Experimental Designs for Heteroskedastic Variance. NeurIPS 2023 - 2022
- [c14]Blake Mason, Kwang-Sung Jun, Lalit Jain:
An Experimental Design Approach for Regret Minimization in Logistic Bandits. AAAI 2022: 7736-7743 - [c13]Blake Mason, Lalit Jain, Subhojyoti Mukherjee, Romain Camilleri, Kevin G. Jamieson, Robert D. Nowak:
Nearly Optimal Algorithms for Level Set Estimation. AISTATS 2022: 7625-7658 - [c12]Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk:
NFT-K: Non-Fungible Tangent Kernels. ICASSP 2022: 3798-3802 - [c11]Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak:
One for All: Simultaneous Metric and Preference Learning over Multiple Users. NeurIPS 2022 - [c10]Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. NeurIPS 2022 - [i11]Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. CoRR abs/2202.01243 (2022) - [i10]Blake Mason, Kwang-Sung Jun, Lalit Jain:
An Experimental Design Approach for Regret Minimization in Logistic Bandits. CoRR abs/2202.02407 (2022) - [i9]Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
Benign Overparameterization in Membership Inference with Early Stopping. CoRR abs/2205.14055 (2022) - [i8]Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert D. Nowak:
One for All: Simultaneous Metric and Preference Learning over Multiple Users. CoRR abs/2207.03609 (2022) - [i7]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 abs/2210.01959 (2022) - 2021
- [c9]Kwang-Sung Jun, Lalit Jain, Houssam Nassif, Blake Mason:
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits. ICML 2021: 5148-5157 - [c8]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: 17801-17812 - [c7]Blake Mason, Ardhendu Tripathy, Robert Nowak:
Nearest neighbor search under uncertainty. UAI 2021: 1777-1786 - [i6]Blake Mason, Ardhendu Tripathy, Robert D. Nowak:
Nearest Neighbor Search Under Uncertainty. CoRR abs/2103.05057 (2021) - [i5]Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk:
NFT-K: Non-Fungible Tangent Kernels. CoRR abs/2110.04945 (2021) - [i4]Blake Mason, Romain Camilleri, Subhojyoti Mukherjee, Kevin Jamieson, Robert D. Nowak, Lalit Jain:
Nearly Optimal Algorithms for Level Set Estimation. CoRR abs/2111.01768 (2021) - [i3]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 abs/2111.04915 (2021) - 2020
- [c6]Blake Mason, Lalit Jain, Ardhendu Tripathy, Robert Nowak:
Finding All $\epsilon$-Good Arms in Stochastic Bandits. NeurIPS 2020 - [i2]Blake Mason, Lalit Jain, Ardhendu Tripathy, Robert D. Nowak:
Finding All ε-Good Arms in Stochastic Bandits. CoRR abs/2006.08850 (2020)
2010 – 2019
- 2019
- [j1]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) - [c5]Blake Mason, Ardhendu Tripathy, Robert D. Nowak:
Learning Nearest Neighbor Graphs from Noisy Distance Samples. NeurIPS 2019: 9582-9592 - [i1]Blake Mason, Ardhendu Tripathy, Robert D. Nowak:
Learning Nearest Neighbor Graphs from Noisy Distance Samples. CoRR abs/1905.13267 (2019) - 2018
- [c4]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 - [c3]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 - 2017
- [c2]Blake Mason, Lalit Jain, Robert D. Nowak:
Learning Low-Dimensional Metrics. NIPS 2017: 4139-4147 - 2016
- [c1]Martina A. Rau, Blake Mason, Robert D. Nowak:
How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations. EDM 2016: 199-206
Coauthor Index
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