Robuta

https://deepai.org/publication/sublinear-quantum-algorithms-for-training-linear-and-kernel-based-classifiers Sublinear quantum algorithms for training linear and kernel-based classifiers | DeepAI Apr 4, 2019 - 04/04/19 - We investigate quantum algorithms for classification, a fundamental problem in machine learning, with provable guarantees. Given n... quantum algorithmsfor trainingkernel basedsublinear https://www.yourdictionary.com/sublinear Sublinear Definition & Meaning | YourDictionary Sublinear definition: Placed below a line of text. sublineardefinitionmeaningyourdictionary https://openreview.net/forum?id=30NS22tgCW Optimal Scalarizations for Sublinear Hypervolume Regret | OpenReview Scalarization is a general, parallizable technique that can be deployed in any multiobjective setting to reduce multiple objectives into one, yet some have... optimalsublinearhypervolumeregretopenreview https://www.fileformat.info/info/unicode/char/0709/index.htm Unicode Character 'SYRIAC SUBLINEAR COLON SKEWED RIGHT' (U+0709) unicode characterskewed rightsyriacsublinearcolon https://jmlr.org/papers/v24/21-0543.html Fundamental limits and algorithms for sparse linear regression with sublinear sparsity linear regressionfundamentallimitsalgorithms https://deepai.org/publication/taming-the-exponential-action-set-sublinear-regret-and-fast-convergence-to-nash-equilibrium-in-online-congestion-games Taming the Exponential Action Set: Sublinear Regret and Fast Convergence to Nash Equilibrium in... Jun 19, 2023 - 06/19/23 - The congestion game is a powerful model that encompasses a range of engineering systems such as traffic networks and resource allo... https://ptreview.sublinear.info/ Property Testing Review | The latest in property testing and sublinear time algorithms property testingthe latestsublinear timereviewalgorithms https://openreview.net/forum?id=4PJbcrW_7wC Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity | OpenReview We present a sketch-based GNN training technique with sublinear training time and memory complexities with respect to graph size. graph neural networkssketchgnnscalable https://openreview.net/forum?id=VPhhd5pv0Qs Sublinear Algorithms for Hierarchical Clustering | OpenReview Hierarchical clustering over graphs is a fundamental task in data mining and machine learning with applications in many domains including phylogenetics, social... hierarchical clusteringsublinearalgorithmsopenreview https://arxiv.org/abs/2305.02393 [2305.02393] Universal sublinear resistivity in vanadium kagome materials hosting charge density... Abstract page for arXiv paper 2305.02393: Universal sublinear resistivity in vanadium kagome materials hosting charge density waves https://openreview.net/forum?id=vhZ3YsQSgZ&referrer=%5Bthe%20profile%20of%20Yinhao%20Dong%5D(%2Fprofile%3Fid%3D~Yinhao_Dong1) Sublinear-Time Opinion Estimation in the Friedkin-Johnsen Model | OpenReview Online social networks are ubiquitous parts of modern societies and the discussions that take place in these networks impact people's opinions on diverse... sublinear timeopinionestimationfriedkinjohnsen https://deepai.org/publication/sublinear-classical-and-quantum-algorithms-for-general-matrix-games Sublinear classical and quantum algorithms for general matrix games | DeepAI Dec 11, 2020 - 12/11/20 - We investigate sublinear classical and quantum algorithms for matrix games, a fundamental problem in optimization and machine lear... quantum algorithmsmatrix gamessublinearclassicalgeneral https://openreview.net/forum?id=G0gqWCJjgJf Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity | OpenReview We present a sketch-based GNN training technique with sublinear training time and memory complexities with respect to graph size. graph neural networkssketchgnnscalable https://deepai.org/publication/sampling-based-sublinear-low-rank-matrix-arithmetic-framework-for-dequantizing-quantum-machine-learning Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine... Oct 14, 2019 - 10/14/19 - We present an algorithmic framework generalizing quantum-inspired polylogarithmic-time algorithms on low-rank matrices. Our work f... rank matrix https://arxiv.org/abs/1504.00774 [1504.00774] How to solve the cake-cutting problem in sublinear time Abstract page for arXiv paper 1504.00774: How to solve the cake-cutting problem in sublinear time how to solvecake cutting problem