Sparse Learning using Discrete Optimization: Scalable Algorithms and Statistical Insights by Hazimeh, Hussein

“…Sparsity is a central concept in interpretable machine learning and high-dimensional statistics. …”
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Shaving Logs via Large Sieve Inequality: Faster Algorithms for Sparse Convolution and More by Jin, Ce, Xu, Yinzhan

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Comparative analysis of robust design methods by Singh, Jagmeet, 1980-

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Large-area visually augmented navigation for autonomous underwater vehicles by Eustice, Ryan M

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Accelerated Diffusion Spectrum Imaging with Compressed Sensing Using Adaptive Dictionaries by Bilgic, Berkin, Setsompop, Kawin, Cohen-Adad, Julien, Wedeen, Van, Wald, Lawrence, Adalsteinsson, Elfar

“…Recent work by Menzel et al. imposed sparsity constraints on the pdfs under wavelet and Total Variation (TV) transforms. …”
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Structured video content analysis : learning spatio-temporal and multimodal structures by Song, Yale

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Deep neural network compression for pixel-level vision tasks by He, Wei

“…ACSL extends CAP by inducing sparsity into the channel importance with an adaptive penalty strength. …”
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Private Boosted Decision Trees via Smooth Re-Weighting by Mohammadmahdi Jahanara, Vahid Asadi, Marco Carmosino, Akbar Rafiey, Bahar Salamatian

“…Experiments show that this boosting algorithm can produce better model sparsity and accuracy than other differentially private ensemble classifiers. …”
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Private Boosted Decision Trees via Smooth Re-Weighting by Mohammadmahdi Jahanara, Vahid Asadi, Marco Carmosino, Akbar Rafiey, Bahar Salamatian

“…Experiments show that this boosting algorithm can produce better model sparsity and accuracy than other differentially private ensemble classifiers. …”
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DORIS: Personalized course recommendation system based on deep learning. by Yinping Ma, Rongbin Ouyang, Xinzheng Long, Zhitong Gao, Tianping Lai, Chun Fan

“…However, it still needs to mature and improve its scalability, sparsity, and cold start problems resulting in poor quality recommendations. …”
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Pilots Optimization and Surface Area Effects on Channel Estimation in RIS Aided MIMO System by Muhammad HAROON AURANGZEB, Faisal AKRAM, Imran RASHID, Attiq AHMED

“…Previous works have shown an improvement in reducing the pilot overhead by exploiting the structured sparsity in rows and columns, which was further improved by compensating offset among users in angular cascaded channels of RIS aided system. …”
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A Recommendation System Based on Regression Model of Three-Tier Network Architecture by Wang Bailing, Huang Junheng, Zhu Dongjie, Hou Xilu

“…The sparsity problem of user-item matrix is a major obstacle to improve the accuracy of the traditional collaborative filtering systems, and, meanwhile, it is also responsible for cold-start problem in the collaborative filtering approaches. …”
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Small Object Detection Based on Stereo Vision by Long Qian, Xie Qiwei, Seiichi Mita, Kazuhisa Ishimaru, Noriaki Shirai

“…Lidar and radar are hard to detect this kind of objects due to the sparsity of their detecting signal. Vision based methods are possible to solve this problem because camera can generate dense information. …”
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Simulating time evolution on distributed quantum computers by Finn Lasse Buessen, Dvira Segal, Ilia Khait

“…We find that the overall quality of the approximation depends smoothly on the local sparsity and that the proliferation of local errors is slow. …”
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Reducing computational demands of restricted maximum likelihood estimation with genomic relationship matrices by Karin Meyer

“…We outline a reparameterisation of the multivariate linear mixed model to principal components and its effects on the sparsity pattern of the pertaining coefficient matrix in the mixed model equations. …”
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Tolerance Rough Set-Based Bag-of-Words Model for Document Representation by Dong Qiu, Haihuan Jiang, Ruiteng Yan

“…However, the traditional BoW model has the drawbacks of sparsity and lacking of latent semantic relations. …”
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Species of Nitella (Streptophyta: Charales) from Murmansk Oblast (Russia) by R. E. Romanov, I. V. Blinova

“…These species of Nitella do not seem to be rare in Murmansk Region, and the sparsity of their recorded distribution probably reflects insufficient local study of this group. …”
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Analysis of SPRITE : A new sparse approach for 3D high resolution RCS imaging by Thomas Benoudiba‐Campanini, Jean‐François Giovannelli, Pierre Massaloux, Pierre Minvielle

“…It is based on a regularisation scheme that accounts for information of sparsity and support. The solution is then defined as the minimiser of a penalised and constrained criterion. …”
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Medical Extended Reality Trials: Building Robust Comparators, Controls, and Sham by Susan Persky, Luana Colloca

“…In comparison with this growth, there is a relative sparsity of rigorous clinical trials that establish the efficacy and effectiveness of these interventions. …”
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Regularization of a Parameter Estimation Problem using Monotonicity and Convexity Constraints * by Subbey Sam

“…The problem is challenging because several candidate functions exist in the literature, and the choice of best function is non-trivial, due to data sparsity and uncertainty. This paper formulates the problem as a constrained optimization task, and uses B-spline basis functions to represent the functional family to which the SRF belongs. …”
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