Davenport, Mark

9 publications

NeurIPS 2023 Perceptual Adjustment Queries and an Inverted Measurement Paradigm for Low-Rank Metric Learning Austin Xu, Andrew McRae, Jingyan Wang, Mark Davenport, Ashwin Pananjady

AISTATS 2022 Harmless Interpolation in Regression and Classification with Structured Features Andrew D. Mcrae, Santhosh Karnik, Mark Davenport, Vidya K. Muthukumar

NeurIPS 2021 Deep Inference of Latent Dynamics with Spatio-Temporal Super-Resolution Using Selective Backpropagation Through Time Feng Zhu, Andrew Sedler, Harrison A Grier, Nauman Ahad, Mark Davenport, Matthew Kaufman, Andrea Giovannucci, Chethan Pandarinath

NeurIPS 2020 Generative Causal Explanations of Black-Box Classifiers Matthew O'Shaughnessy, Gregory Canal, Marissa Connor, Christopher Rozell, Mark Davenport

AISTATS 2020 Sample Complexity Bounds for Localized Sketching Rakshith Sharma Srinivasa, Mark Davenport, Justin Romberg

NeurIPS 2020 Sample Complexity and Effective Dimension for Regression on Manifolds Andrew McRae, Justin Romberg, Mark Davenport

NeurIPS 2020 Simultaneous Preference and Metric Learning from Paired Comparisons Austin Xu, Mark Davenport

ICML 2019 Active Embedding Search via Noisy Paired Comparisons Gregory Canal, Andy Massimino, Mark Davenport, Christopher Rozell

NeurIPS 2016 Dynamic Matrix Recovery from Incomplete Observations Under an Exact Low-Rank Constraint Liangbei Xu, Mark Davenport