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Publication search results
found 46 matches
- 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 - Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
A Blessing of Dimensionality in Membership Inference through Regularization. AISTATS 2023: 10968-10993 - Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain:
Experimental Designs for Heteroskedastic Variance. NeurIPS 2023 - 2022
- Blake Mason, Kwang-Sung Jun, Lalit Jain:
An Experimental Design Approach for Regret Minimization in Logistic Bandits. AAAI 2022: 7736-7743 - 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 - 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 - Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak:
One for All: Simultaneous Metric and Preference Learning over Multiple Users. NeurIPS 2022 - Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. NeurIPS 2022 - 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) - Blake Mason, Kwang-Sung Jun, Lalit Jain:
An Experimental Design Approach for Regret Minimization in Logistic Bandits. CoRR abs/2202.02407 (2022) - Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk:
Benign Overparameterization in Membership Inference with Early Stopping. CoRR abs/2205.14055 (2022) - 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) - 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
- 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 - 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 - Blake Mason, Ardhendu Tripathy, Robert Nowak:
Nearest neighbor search under uncertainty. UAI 2021: 1777-1786 - Blake Mason, Ardhendu Tripathy, Robert D. Nowak:
Nearest Neighbor Search Under Uncertainty. CoRR abs/2103.05057 (2021) - 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) - 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) - 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
- 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 abs/2006.08850 (2020) - 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) - Blake Mason, Ardhendu Tripathy, Robert D. Nowak:
Learning Nearest Neighbor Graphs from Noisy Distance Samples. NeurIPS 2019: 9582-9592 - Blake Mason, Ardhendu Tripathy, Robert D. Nowak:
Learning Nearest Neighbor Graphs from Noisy Distance Samples. CoRR abs/1905.13267 (2019) - 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 - 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
- Blake Mason, Lalit Jain, Robert D. Nowak:
Learning Low-Dimensional Metrics. NIPS 2017: 4139-4147 - 2016
- 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 - 2015
- Nicolaus A. Radford, Philip Strawser, Kimberly A. Hambuchen, Joshua S. Mehling, William K. Verdeyen, A. Stuart Donnan, James Holley, Jairo Sanchez, Vienny Nguyen, Lyndon B. Bridgwater, Reginald Berka, Robert O. Ambrose, Mason Myles Markee, N. J. Fraser-Chanpong, Christopher McQuin, John D. Yamokoski, Stephen Hart, Raymond Guo, Adam Parsons, Brian Wightman, Paul Dinh, Barrett Ames, Charles Blakely, Courtney Edmondson, Brett Sommers, Rochelle Rea, Chad Tobler, Heather Bibby, Brice Howard, Lei Niu, Andrew Lee, Michael Conover, Lily Truong, Ryan Reed, David Chesney, Robert Platt Jr., Gwendolyn Johnson, Chien-Liang Fok, Nicholas Paine, Luis Sentis, Eric A. Cousineau, Ryan W. Sinnet, Jordan Lack, Matthew J. Powell, Benjamin Morris, Aaron D. Ames, Jide Akinyode:
Valkyrie: NASA's First Bipedal Humanoid Robot. J. Field Robotics 32(3): 397-419 (2015)
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