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2020 – today
- 2023
[j24]Andrew D. McRae
, Justin Romberg, Mark A. Davenport:
Optimal Convex Lifted Sparse Phase Retrieval and PCA With an Atomic Matrix Norm Regularizer. IEEE Trans. Inf. Theory 69(3): 1866-1882 (2023)- [c45]Namrata Nadagouda, Austin Xu, Mark A. Davenport:
Active metric learning and classification using similarity queries. UAI 2023: 1478-1488 - [i34]Chiraag Kaushik, Andrew D. McRae, Mark A. Davenport, Vidya Muthukumar:
New Equivalences Between Interpolation and SVMs: Kernels and Structured Features. CoRR abs/2305.02304 (2023) - [i33]Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher Rozell:
Distance preservation in state-space methods for detecting causal interactions in dynamical systems. CoRR abs/2308.06855 (2023) - [i32]Austin Xu, Andrew D. McRae, Jingyan Wang, Mark A. Davenport, Ashwin Pananjady:
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning. CoRR abs/2309.04626 (2023) - 2022
- [j23]Santhosh Karnik, Justin Romberg, Mark A. Davenport:
Thomson's Multitaper Method Revisited. IEEE Trans. Inf. Theory 68(7): 4864-4891 (2022) - [c44]Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya K. Muthukumar:
Harmless interpolation in regression and classification with structured features. AISTATS 2022: 5853-5875 - [c43]Andrew D. McRae, Austin Xu, Jihui Jin, Namrata Nadagouda, Nauman Ahad, Peimeng Guan, Santhosh Karnik, Mark A. Davenport:
Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons. ICASSP 2022: 5558-5562 - [i31]Namrata Nadagouda, Austin Xu, Mark A. Davenport:
Active metric learning and classification using similarity queries. CoRR abs/2202.01953 (2022) - [i30]Nauman Ahad, Eva L. Dyer, Keith B. Hengen, Yao Xie, Mark A. Davenport:
Learning Sinkhorn divergences for supervised change point detection. CoRR abs/2202.04000 (2022) - [i29]Peimeng Guan, Jihui Jin, Justin Romberg, Mark A. Davenport:
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) - A Memory-Efficient Inverse Problem Solver. CoRR abs/2210.04987 (2022) - 2021
- [j22]Andrew K. Massimino, Mark A. Davenport:
As You Like It: Localization via Paired Comparisons. J. Mach. Learn. Res. 22: 186:1-186:39 (2021) - [c42]Nauman Ahad, Mark A. Davenport:
Semi-supervised Sequence Classification through Change Point Detection. AAAI 2021: 6574-6581 - [c41]Namrata Nadagouda, Mark A. Davenport:
Switched Hawkes Processes. ICASSP 2021: 5170-5174 - [c40]Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath:
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. NeurIPS 2021: 2331-2345 - [i28]Santhosh Karnik, Justin Romberg, Mark A. Davenport:
Thomson's Multitaper Method Revisited. CoRR abs/2103.11586 (2021) - [i27]Feng Zhu, Andrew R. Sedler, Harrison A. Grier, Nauman Ahad, Mark A. Davenport, Matthew T. Kaufman, Andrea Giovannucci, Chethan Pandarinath:
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. CoRR abs/2111.00070 (2021) - [i26]Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya Muthukumar:
Harmless interpolation in regression and classification with structured features. CoRR abs/2111.05198 (2021) - 2020
- [j21]Chris Sabillon, Abbas Rashidi, Biswanath Samanta, Mark A. Davenport, David V. Anderson:
Audio-Based Bayesian Model for Productivity Estimation of Cyclic Construction Activities. J. Comput. Civ. Eng. 34(1) (2020) - [j20]Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg:
Trading Beams for Bandwidth: Imaging with Randomized Beamforming. SIAM J. Imaging Sci. 13(1): 317-350 (2020) - [j19]Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell:
Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals. IEEE Trans. Signal Process. 68: 388-403 (2020) - [c39]Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg:
Sample complexity bounds for localized sketching. AISTATS 2020: 3275-3284 - [c38]Liangbei Xu, Mark A. Davenport:
Dynamic Knowledge Embedding and Tracing. EDM 2020 - [c37]Gregory Canal, Marissa Connor, Jihui Jin, Namrata Nadagouda, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport:
The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model. ICASSP 2020: 3462-3466 - [c36]Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active Embedding Search via Noisy Paired Comparisons. ITA 2020: 1 - [c35]Andrew D. McRae, Justin Romberg, Mark A. Davenport:
Sample complexity and effective dimension for regression on manifolds. NeurIPS 2020 - [c34]Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Christopher Rozell, Mark A. Davenport:
Generative causal explanations of black-box classifiers. NeurIPS 2020 - [c33]Austin Xu, Mark A. Davenport:
Simultaneous Preference and Metric Learning from Paired Comparisons. NeurIPS 2020 - [i25]Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg:
Localized sketching for matrix multiplication and ridge regression. CoRR abs/2003.09097 (2020) - [i24]Liangbei Xu, Mark A. Davenport:
Dynamic Knowledge embedding and tracing. CoRR abs/2005.09109 (2020) - [i23]Andrew D. McRae, Justin Romberg, Mark A. Davenport:
Sample complexity and effective dimension for regression on manifolds. CoRR abs/2006.07642 (2020) - [i22]Matthew R. O'Shaughnessy, Gregory Canal, Marissa Connor, Mark A. Davenport, Christopher Rozell:
Generative causal explanations of black-box classifiers. CoRR abs/2006.13913 (2020) - [i21]Austin Xu, Mark A. Davenport:
Simultaneous Preference and Metric Learning from Paired Comparisons. CoRR abs/2009.02302 (2020) - [i20]Nauman Ahad, Mark A. Davenport:
Semi-supervised sequence classification through change point detection. CoRR abs/2009.11829 (2020)
2010 – 2019
- 2019
- [j18]Albert Cohen, Mark A. Davenport, Dany Leviatan:
Correction to: On the Stability and Accuracy of Least Squares Approximations. Found. Comput. Math. 19(1): 239 (2019) - [j17]Michael G. Moore, Mark A. Davenport:
Estimation of Poisson Arrival Processes Under Linear Models. IEEE Trans. Inf. Theory 65(6): 3555-3564 (2019) - [c32]Gregory H. Canal, Matthew R. O'Shaughnessy, Christopher J. Rozell, Mark A. Davenport:
Joint Estimation of Trajectory and Dynamics from Paired Comparisons. CAMSAP 2019: 121-125 - [c31]Matthew R. O'Shaughnessy, Mark A. Davenport, Christopher J. Rozell:
Dynamical System Implementations of Sparse Bayesian Learning. CAMSAP 2019: 136-140 - [c30]Gregory Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active Embedding Search via Noisy Paired Comparisons. ICML 2019: 902-911 - [i19]Gregory H. Canal, Andrew K. Massimino, Mark A. Davenport, Christopher J. Rozell:
Active embedding search via noisy paired comparisons. CoRR abs/1905.04363 (2019) - [i18]Andrew D. McRae, Mark A. Davenport:
Low-rank matrix completion and denoising under Poisson noise. CoRR abs/1907.05325 (2019) - 2018
- [j16]Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin:
The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. IEEE Signal Process. Lett. 25(1): 95-99 (2018) - [j15]Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha:
A Unified Framework for Manifold Landmarking. IEEE Trans. Signal Process. 66(21): 5563-5576 (2018) - [j14]Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg:
ROAST: Rapid Orthogonal Approximate Slepian Transform. IEEE Trans. Signal Process. 66(22): 5887-5901 (2018) - [c29]Rakshith Sharma Srinivasa, Mark A. Davenport, Justin Romberg:
Localized random projections with applications to coherent array imaging. Allerton 2018: 617-623 - [c28]Theodore J. LaGrow, Michael G. Moore, Judy A. Prasad, Mark A. Davenport, Eva L. Dyer:
Approximating Cellular Densities from High-Resolution Neuroanatomical Imaging Data. EMBC 2018: 1-4 - [c27]Chieh-Feng Cheng, David V. Anderson, Mark A. Davenport, Abbas Rashidi:
Audio Classification Based on Weakly Labeled Data. SSP 2018: 568-572 - [i17]Andrew K. Massimino, Mark A. Davenport:
As you like it: Localization via paired comparisons. CoRR abs/1802.10489 (2018) - [i16]Michael G. Moore, Mark A. Davenport:
Estimation of Poisson arrival processes under linear models. CoRR abs/1803.00980 (2018) - 2017
- [c26]Liangbei Xu, Mark A. Davenport:
Simultaneous recovery of a series of low-rank matrices by locally weighted matrix smoothing. CAMSAP 2017: 1-5 - [c25]Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin K. Romberg:
Fast orthogonal approximations of sampled sinusoids and bandlimited signals. ICASSP 2017: 4511-4515 - [c24]Andrew K. Massimino, Mark A. Davenport:
The geometry of random paired comparisons. ICASSP 2017: 6374-6378 - [i15]Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin:
The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. CoRR abs/1707.05344 (2017) - [i14]Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha:
Active manifold learning via a unified framework for manifold landmarking. CoRR abs/1710.09334 (2017) - [i13]Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg:
ROAST: Rapid Orthogonal Approximate Slepian Transform. CoRR abs/1712.04613 (2017) - 2016
- [j13]Mark A. Davenport, Justin K. Romberg:
An Overview of Low-Rank Matrix Recovery From Incomplete Observations. IEEE J. Sel. Top. Signal Process. 10(4): 608-622 (2016) - [j12]Mark A. Davenport, Andrew K. Massimino, Deanna Needell, Tina Woolf:
Constrained Adaptive Sensing. IEEE Trans. Signal Process. 64(20): 5437-5449 (2016) - [c23]Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin K. Romberg, Mark A. Davenport:
Fast computations for approximation and compression in Slepian spaces. GlobalSIP 2016: 1359-1363 - [c22]Matthew R. O'Shaughnessy, Mark A. Davenport:
Localizing users and items from paired comparisons. MLSP 2016: 1-6 - [c21]Liangbei Xu, Mark A. Davenport:
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint. NIPS 2016: 3585-3593 - [c20]Michael G. Moore, Mark A. Davenport:
Analysis of wireless networks using Hawkes processes. SPAWC 2016: 1-5 - [c19]Andrew K. Massimino, Mark A. Davenport:
Binary stable embedding via paired comparisons. SSP 2016: 1-5 - [c18]Michael G. Moore, Mark A. Davenport:
A Hawkes' eye view of network information flow. SSP 2016: 1-5 - [i12]Mark A. Davenport, Justin K. Romberg:
An overview of low-rank matrix recovery from incomplete observations. CoRR abs/1601.06422 (2016) - [i11]Liangbei Xu, Mark A. Davenport:
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint. CoRR abs/1610.09420 (2016) - 2015
- [c17]Hongteng Xu, Hongyuan Zha, Ren-Cang Li, Mark A. Davenport:
Active Manifold Learning via Gershgorin Circle Guided Sample Selection. AAAI 2015: 3108-3114 - [c16]Michael G. Moore, Andrew K. Massimino, Mark A. Davenport:
Randomized multi-pulse time-of-flight mass spectrometry. CAMSAP 2015: 361-364 - [i10]Mark A. Davenport, Andrew K. Massimino, Deanna Needell, Tina Woolf:
Constrained adaptive sensing. CoRR abs/1506.05889 (2015) - 2014
- [j11]Rebecca M. Willett, Marco F. Duarte, Mark A. Davenport, Richard G. Baraniuk:
Sparsity and Structure in Hyperspectral Imaging : Sensing, Reconstruction, and Target Detection. IEEE Signal Process. Mag. 31(1): 116-126 (2014) - [c15]Hongteng Xu, Hongyuan Zha, Mark A. Davenport:
Manifold Based Dynamic Texture Synthesis from Extremely Few Samples. CVPR 2014: 3019-3026 - 2013
- [j10]Albert Cohen, Mark A. Davenport, Dany Leviatan:
On the Stability and Accuracy of Least Squares Approximations. Found. Comput. Math. 13(5): 819-834 (2013) - [j9]Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport:
On the Fundamental Limits of Adaptive Sensing. IEEE Trans. Inf. Theory 59(1): 472-481 (2013) - [j8]Mark A. Davenport, Deanna Needell, Michael B. Wakin:
Signal Space CoSaMP for Sparse Recovery With Redundant Dictionaries. IEEE Trans. Inf. Theory 59(10): 6820-6829 (2013) - [c14]Mark A. Davenport:
Lost without a compass: Nonmetric triangulation and landmark multidimensional scaling. CAMSAP 2013: 13-16 - [c13]Adam Charles, Ali Ahmed, Aditya Joshi, Stephen Conover, Christopher K. Turnes, Mark A. Davenport:
Cleaning up toxic waste: Removing nefarious contributions to recommendation systems. ICASSP 2013: 6571-6575 - [c12]Mary Wootters, Yaniv Plan, Mark A. Davenport, Ewout van den Berg:
Lower bounds for quantized matrix completion. ISIT 2013: 296-300 - 2012
- [j7]Mark A. Davenport, Jason N. Laska, John R. Treichler, Richard G. Baraniuk:
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding versus Dynamic Range. IEEE Trans. Signal Process. 60(9): 4628-4642 (2012) - [c11]Mark A. Davenport, Deanna Needell, Michael B. Wakin:
CoSaMP with redundant dictionaries. ACSCC 2012: 263-267 - [c10]Stephen R. Schnelle, John P. Slavinsky, Petros Boufounos, Mark A. Davenport, Richard G. Baraniuk:
A compressive phase-locked loop. ICASSP 2012: 2885-2888 - [c9]Mark A. Davenport, Ery Arias-Castro:
Compressive binary search. ISIT 2012: 1827-1831 - [p1]Mark A. Davenport, Marco F. Duarte, Yonina C. Eldar, Gitta Kutyniok:
Introduction to compressed sensing. Compressed Sensing 2012: 1-64 - [i9]Mark A. Davenport, Ery Arias-Castro:
Compressive binary search. CoRR abs/1202.0937 (2012) - [i8]Mark A. Davenport, Deanna Needell, Michael B. Wakin:
Signal Space CoSaMP for Sparse Recovery with Redundant Dictionaries. CoRR abs/1208.0353 (2012) - [i7]Mark A. Davenport, Yaniv Plan, Ewout van den Berg, Mary Wootters:
1-Bit Matrix Completion. CoRR abs/1209.3672 (2012) - 2011
- [c8]John P. Slavinsky, Jason N. Laska, Mark A. Davenport, Richard G. Baraniuk:
The compressive multiplexer for multi-channel compressive sensing. ICASSP 2011: 3980-3983 - [i6]Mark A. Davenport, Jason N. Laska, John R. Treichler, Richard G. Baraniuk:
The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding vs. Dynamic Range. CoRR abs/1104.4842 (2011) - [i5]Emmanuel J. Candès, Mark A. Davenport:
How well can we estimate a sparse vector? CoRR abs/1104.5246 (2011) - [i4]Mark A. Davenport, Michael B. Wakin:
Compressive Sensing of Analog Signals Using Discrete Prolate Spheroidal Sequences. CoRR abs/1109.3649 (2011) - [i3]Ery Arias-Castro, Emmanuel J. Candès, Mark A. Davenport:
On the Fundamental Limits of Adaptive Sensing. CoRR abs/1111.4646 (2011) - 2010
- [j6]Mark A. Davenport, Petros Boufounos, Michael B. Wakin, Richard G. Baraniuk:
Signal Processing With Compressive Measurements. IEEE J. Sel. Top. Signal Process. 4(2): 445-460 (2010) - [j5]Mark A. Davenport, Richard G. Baraniuk, Clayton D. Scott:
Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1888-1898 (2010) - [j4]Mark A. Davenport, Chinmay Hegde, Marco F. Duarte, Richard G. Baraniuk:
Joint Manifolds for Data Fusion. IEEE Trans. Image Process. 19(10): 2580-2594 (2010) - [j3]Mark A. Davenport, Michael B. Wakin:
Analysis of orthogonal matching pursuit using the restricted isometry property. IEEE Trans. Inf. Theory 56(9): 4395-4401 (2010) - [c7]Mark A. Davenport, Chinmay Hegde, Marco F. Duarte, Richard G. Baraniuk:
High Dimensional Data Fusion via Joint Manifold Learning. AAAI Fall Symposium: Manifold Learning and Its Applications 2010 - [c6]Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde, Marco F. Duarte, Mark A. Davenport, Richard G. Baraniuk:
Texas Hold 'Em algorithms for distributed compressive sensing. ICASSP 2010: 2886-2889
2000 – 2009
- 2009
- [c5]Mark A. Davenport, Richard G. Baraniuk:
Sparse Geodesic Paths. AAAI Fall Symposium: Manifold Learning and Its Applications 2009 - [i2]Mark A. Davenport, Chinmay Hegde, Marco F. Duarte, Richard G. Baraniuk:
A Theoretical Analysis of Joint Manifolds. CoRR abs/0901.0760 (2009) - [i1]Mark A. Davenport, Jason N. Laska, Petros Boufounos, Richard G. Baraniuk:
A simple proof that random matrices are democratic. CoRR abs/0911.0736 (2009) - 2008
- [j2]Marco F. Duarte, Mark A. Davenport, Dharmpal Takhar, Jason N. Laska, Ting Sun, Kevin F. Kelly, Richard G. Baraniuk:
Single-pixel imaging via compressive sampling. IEEE Signal Process. Mag. 25(2): 83-91 (2008) - 2007
- [j1]Clayton D. Scott, Mark A. Davenport:
Regression Level Set Estimation Via Cost-Sensitive Classification. IEEE Trans. Signal Process. 55(6-1): 2752-2757 (2007) - [c4]Mark A. Davenport, Marco F. Duarte, Michael B. Wakin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk:
The smashed filter for compressive classification and target recognition. Computational Imaging 2007: 64980H - [c3]Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Jason N. Laska, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk:
Multiscale Random Projections for Compressive Classification. ICIP (6) 2007: 161-164 - 2006
- [c2]Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Richard G. Baraniuk:
Sparse Signal Detection from Incoherent Projections. ICASSP (3) 2006: 305-308 - [c1]Mark A. Davenport, Richard G. Baraniuk, Clayton D. Scott:
Controlling False Alarms With Support Vector Machines. ICASSP (5) 2006: 589-592
Coauthor Index
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last updated on 2023-09-28 03:10 CEST by the dblp team
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