Keaton Hamm - RankMe

50 papers A 1B 2C 1Journal 41Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Empowering Clients: Self-Adaptive Federated Learning for Data Quality Challenges. EDGE Zahidur Talukder, Muhammad Rana, Keaton Hamm, Mohammad A. Islam
2025	J	`jnl`	LOTFormer: Doubly-Stochastic Linear Attention via Low-Rank Optimal Transport. CoRR Ashkan Shahbazi, Chayne Thrash, Yikun Bai, Keaton Hamm, Navid Naderializadeh, Soheil Kolouri
2025	J	`jnl`	Manifold Learning in Wasserstein Space. SIAM J. Math. Anal. Keaton Hamm, Caroline Moosmüller, Bernhard Schmitzer, Matthew Thorpe
2025	J	`jnl`	Neighbor Embeddings Using Unbalanced Optimal Transport Metrics. CoRR Muhammad Rana, Keaton Hamm
2025	J	`jnl`	Persistent Classification: Understanding Adversarial Attacks by Studying Decision Boundary Dynamics. Stat. Anal. Data Min. Brian Bell, Michael Geyer, David Glickenstein, Keaton Hamm, Carlos Scheidegger, Amanda S. Fernandez, Juston Moore
2025	J	`jnl`	Recovering Wasserstein Distance Matrices from Few Measurements. CoRR Muhammad Rana, Abiy Tasissa, HanQin Cai, Yakov Gavriyelov, Keaton Hamm
2024	J	`jnl`	Persistent Classification: A New Approach to Stability of Data and Adversarial Examples. CoRR Brian Bell, Michael Geyer, David Glickenstein, Keaton Hamm, Carlos Scheidegger, Amanda S. Fernandez, Juston Moore
2023	J	`jnl`	Boosting Nyström Method. CoRR Keaton Hamm, Zhaoying Lu, Wenbo Ouyang, Hao Helen Zhang
2023	J	`jnl`	Lattice Approximations in Wasserstein Space. CoRR Keaton Hamm, Varun Khurana
2023	J	`jnl`	Linearized Wasserstein dimensionality reduction with approximation guarantees. CoRR Alexander Cloninger, Keaton Hamm, Varun Khurana, Caroline Moosmüller
2023	J	`jnl`	Manifold learning in Wasserstein space. CoRR Keaton Hamm, Caroline Moosmüller, Bernhard Schmitzer, Matthew Thorpe
2023	J	`jnl`	Multi-Priority Graph Sparsification. CoRR Abu Reyan Ahmed, Keaton Hamm, Stephen G. Kobourov, Mohammad Javad Latifi Jebelli, Faryad Darabi Sahneh, Richard Spence
2023	C	`conf`	Multi-priority Graph Sparsification. IWOCA Abu Reyan Ahmed, Keaton Hamm, Stephen G. Kobourov, Mohammad Javad Latifi Jebelli, Faryad Darabi Sahneh, Richard Spence
2023	J	`jnl`	On Wasserstein distances for affine transformations of random vectors. CoRR Keaton Hamm, Andrzej Korzeniowski
2023	J	`jnl`	Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning. SIAM J. Math. Data Sci. Keaton Hamm, Nick Henscheid, Shujie Kang
2022	J	`jnl`	Generalized Pseudoskeleton Decompositions. CoRR Keaton Hamm
2022	—	`conf`	Riemannian CUR Decompositions for Robust Principal Component Analysis. TAG-ML Keaton Hamm, Mohamed Meskini, HanQin Cai
2022	J	`jnl`	Riemannian CUR Decompositions for Robust Principal Component Analysis. CoRR Keaton Hamm, Mohamed Meskini, HanQin Cai
2022	J	`jnl`	Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning. CoRR Keaton Hamm, Nick Henscheid, Shujie Kang
2021	J	`jnl`	Computing Steiner Trees using Graph Neural Networks. CoRR Abu Reyan Ahmed, Md Asadullah Turja, Faryad Darabi Sahneh, Mithun Ghosh, Keaton Hamm, Stephen G. Kobourov
2021	J	`jnl`	Editorial: Mathematical Fundamentals of Machine Learning. Frontiers Appl. Math. Stat. David Glickenstein, Keaton Hamm, Xiaoming Huo, Yajun Mei, Martin Stoll
2021	J	`jnl`	Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. CoRR HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions. J. Mach. Learn. Res. HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	B	`conf`	Multi-Level Weighted Additive Spanners. SEA Abu Reyan Ahmed, Greg Bodwin, Faryad Darabi Sahneh, Keaton Hamm, Stephen G. Kobourov, Richard Spence
2021	J	`jnl`	Multi-level Weighted Additive Spanners. CoRR Abu Reyan Ahmed, Greg Bodwin, Faryad Darabi Sahneh, Keaton Hamm, Stephen G. Kobourov, Richard Spence
2021	B	`conf`	On Additive Spanners in Weighted Graphs with Local Error. WG Abu Reyan Ahmed, Greg Bodwin, Keaton Hamm, Stephen G. Kobourov, Richard Spence
2021	J	`jnl`	On Matrix Factorizations in Subspace Clustering. CoRR Reeshad Arian, Keaton Hamm
2021	J	`jnl`	Perturbations of CUR Decompositions. SIAM J. Matrix Anal. Appl. Keaton Hamm, Longxiu Huang
2021	J	`jnl`	Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation. IEEE Signal Process. Lett. HanQin Cai, Keaton Hamm, Longxiu Huang, Jiaqi Li, Tao Wang
2021	J	`jnl`	Robust CUR Decomposition: Theory and Imaging Applications. CoRR HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Robust CUR Decomposition: Theory and Imaging Applications. SIAM J. Imaging Sci. HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell
2021	J	`jnl`	Weighted Sparse and Lightweight Spanners with Local Additive Error. CoRR Abu Reyan Ahmed, Greg Bodwin, Keaton Hamm, Stephen G. Kobourov, Richard Spence
2020	J	`jnl`	Graph spanners: A tutorial review. Comput. Sci. Rev. Abu Reyan Ahmed, Greg Bodwin, Faryad Darabi Sahneh, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen G. Kobourov, Richard Spence
2020	A	`conf`	Kruskal-Based Approximation Algorithm for the Multi-Level Steiner Tree Problem. ESA Abu Reyan Ahmed, Faryad Darabi Sahneh, Keaton Hamm, Stephen G. Kobourov, Richard Spence
2020	J	`jnl`	Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation. CoRR HanQin Cai, Keaton Hamm, Longxiu Huang, Jiaqi Li, Tao Wang
2020	J	`jnl`	Stability of Sampling for CUR Decompositions. CoRR Keaton Hamm, Longxiu Huang
2019	J	`jnl`	A General Framework for Multi-level Subsetwise Graph Sparsifiers. CoRR Abu Reyan Ahmed, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen G. Kobourov, Faryad Darabi Sahneh, Richard Spence
2019	—	`conf`	Approximation Algorithms and an Integer Program for Multi-level Graph Spanners. SEA² Abu Reyan Ahmed, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen G. Kobourov, Faryad Darabi Sahneh, Richard Spence
2019	J	`jnl`	Approximation algorithms and an integer program for multi-level graph spanners. CoRR Abu Reyan Ahmed, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen G. Kobourov, Faryad Darabi Sahneh, Richard Spence
2019	J	`jnl`	CUR Decompositions, Approximations, and Perturbations. CoRR Keaton Hamm, Longxiu Huang
2019	J	`jnl`	Graph Spanners: A Tutorial Review. CoRR Abu Reyan Ahmed, Greg Bodwin, Faryad Darabi Sahneh, Keaton Hamm, Mohammad Javad Latifi Jebelli, Stephen G. Kobourov, Richard Spence
2019	J	`jnl`	Perspectives on CUR Decompositions. CoRR Keaton Hamm, Longxiu Huang
2019	J	`jnl`	Perturbations of CUR Decompositions. CoRR Keaton Hamm, Longxiu Huang
2018	J	`jnl`	CUR Decompositions, Similarity Matrices, and Subspace Clustering. Frontiers Appl. Math. Stat. Akram Aldroubi, Keaton Hamm, Ahmet Bugra Koku, Ali Sekmen
2018	J	`jnl`	Cardinal interpolation with general multiquadrics: convergence rates. Adv. Comput. Math. Keaton Hamm, Jeff Ledford
2017	J	`jnl`	CUR Decompositions, Similarity Matrices, and Subspace Clustering. CoRR Akram Aldroubi, Keaton Hamm, Ahmet Bugra Koku, Ali Sekmen
2017	—	`conf`	Matrix resconstruction: Skeleton decomposition versus singular value decomposition. SPECTS Ali Sekmen, Akram Aldroubi, Ahmet Bugra Koku, Keaton Hamm
2017	—	`conf`	Principal coordinate clustering. IEEE BigData Ali Sekmen, Akram Aldroubi, Ahmet Bugra Koku, Keaton Hamm
2016	J	`jnl`	Cardinal interpolation with general multiquadrics. Adv. Comput. Math. Keaton Hamm, Jeff Ledford
2015	J	`jnl`	Approximation rates for interpolation of Sobolev functions via Gaussians and allied functions. J. Approx. Theory Keaton Hamm