Jeff Calder

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 44

Top Topics

Graph Laplacian

Supervised Learning

Convergence Rate

Top Venues

SIAM J. Math. Anal.

SIAM J. Math. Data Sci.

SIAM J. Numer. Anal.

Publications

Jeff Calder, Nadejda Drenska, Drisana Mosaphir
Numerical solution of a PDE arising from prediction with expert advice. CoRR (2024)
Jeff Calder, Nadejda Drenska
Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian. CoRR (2024)
Leon Bungert, Jeff Calder, Max Mihailescu, Kodjo Houssou, Amber Yuan
Convergence rates for Poisson learning to a Poisson equation with measure data. CoRR (2024)
Kevin Miller, Jeff Calder
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning. SIAM J. Math. Data Sci. 5 (4) (2023)
James Chapman, Bohan Chen, Zheng Tan, Jeff Calder, Kevin Miller, Andrea L. Bertozzi
Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets. CoRR (2023)
Jeff Calder, Wonjun Lee
Monotone discretizations of levelset convex geometric PDEs. CoRR (2023)
Jeff Calder, Sangmin Park, Dejan Slepcev
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications. J. Sci. Comput. 92 (2) (2022)
Jeff Calder, Mahmood Ettehad
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth. CoRR (2022)
Jeff Calder, Nicolás García Trillos, Marta Lewicka
Lipschitz Regularity of Graph Laplacians on Random Data Clouds. SIAM J. Math. Anal. 54 (1) (2022)
Jeff Calder, Mahmood Ettehad
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth. J. Mach. Learn. Res. 23 (2022)
Katrina Yezzi-Woodley, Jeff Calder, Mckenzie Sweno, Chloe Siewert, Peter J. Olver
The Batch Artifact Scanning Protocol: A new method using computed tomography (CT) to rapidly create three-dimensional models of objects from large collections en masse. CoRR (2022)
Kevin Miller, John Mauro, Jason Setiadi, Xoaquin Baca, Zhan Shi, Jeff Calder, Andrea L. Bertozzi
Graph-based Active Learning for Semi-supervised Classification of SAR Data. CoRR (2022)
Brendan Cook, Jeff Calder
Rates of Convergence for the Continuum Limit of Nondominated Sorting. SIAM J. Math. Anal. 54 (1) (2022)
Jeff Calder, Reed Coil, Annie Melton, Peter J. Olver, Gilbert Tostevin, Katrina Yezzi-Woodley
Use and Misuse of Machine Learning in Anthropology. CoRR (2022)
Katrina Yezzi-Woodley, Alexander Terwilliger, Jiafeng Li, Eric Chen, Martha Tappen, Jeff Calder, Peter J. Olver
Using machine learning on new feature sets extracted from 3D models of broken animal bones to classify fragments according to break agent. CoRR (2022)
Kevin Miller, Jeff Calder
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning. CoRR (2022)
Leon Bungert, Jeff Calder, Tim Roith
Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian. CoRR (2022)
Leon Bungert, Jeff Calder, Tim Roith
Uniform Convergence Rates for Lipschitz Learning on Graphs. CoRR (2021)
Jeff Calder, Sangmin Park, Dejan Slepcev
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications. CoRR (2021)
Jeff Calder, Dejan Slepcev, Matthew Thorpe
Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates. CoRR (2020)
Jeff Calder, Nadejda Drenska
Asymptotically optimal strategies for online prediction with history-dependent experts. CoRR (2020)
Riley O'Neill, Pedro Angulo-Umana, Jeff Calder, Bo Hessburg, Peter J. Olver, Chehrzad Shakiban, Katrina Yezzi-Woodley
Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals. SIAM J. Imaging Sci. 13 (1) (2020)
Amber Yuan, Jeff Calder, Braxton Osting
A continuum limit for the PageRank algorithm. CoRR (2020)
Katrina Yezzi-Woodley, Jeff Calder, Peter J. Olver, Annie Melton, Paige Cody, Thomas Huffstutler, Alexander Terwilliger, Martha Tappen, Reed Coil, Gilbert Tostevin
The Virtual Goniometer: A new method for measuring angles on 3D models of fragmentary bone and lithics. CoRR (2020)
Nadejda Drenska, Jeff Calder
Online Prediction With History-Dependent Experts: The General Case. CoRR (2020)
Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi
Accelerated Variational PDEs for Efficient Solution of Regularized Inversion Problems. J. Math. Imaging Vis. 62 (1) (2020)
Jeff Calder, Nicolás García Trillos, Marta Lewicka
Lipschitz regularity of graph Laplacians on random data clouds. CoRR (2020)
Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates. ICML (2020)
Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates. CoRR (2020)
Jeff Calder
Consistency of Lipschitz Learning with Infinite Unlabeled Data and Finite Labeled Data. SIAM J. Math. Data Sci. 1 (4) (2019)
Jeff Calder, Nicolás García Trillos
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs. CoRR (2019)
Riley O'Neill, Pedro Angulo-Umana, Jeff Calder, Bo Hessburg, Peter J. Olver, Chehrzad Shakiban, Katrina Yezzi-Woodley
Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals. CoRR (2019)
Mauricio Flores Rios, Jeff Calder, Gilad Lerman
-based semi-supervised learning on graphs. CoRR (2019)
Jeff Calder, Dejan Slepcev
Properly-weighted graph Laplacian for semi-supervised learning. CoRR (2018)
Jeff Calder, Charles K. Smart
The limit shape of convex hull peeling. CoRR (2018)
Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi
Accelerated PDE's for efficient solution of regularized inversion problems. CoRR (2018)
Adam M. Oberman, Jeff Calder
Lipschitz regularized Deep Neural Networks converge and generalize. CoRR (2018)
Tarun Gangwar, Jeff Calder, Takashi Takahashi, Joan E. Bechtold, Dominik Schillinger
Robust variational segmentation of 3D bone CT data with thin cartilage interfaces. Medical Image Anal. 47 (2018)
Bilal Abbasi, Jeff Calder, Adam M. Oberman
Anomaly Detection and Classification for Streaming Data using PDEs. SIAM J. Appl. Math. 78 (2) (2018)
Jeff Calder
The game theoretic p-Laplacian and semi-supervised learning with few labels. CoRR (2017)
Jeff Calder
Consistency of Lipschitz learning with infinite unlabeled data and finite labeled data. CoRR (2017)
Jeff Calder
Numerical schemes and rates of convergence for the Hamilton-Jacobi equation continuum limit of nondominated sorting. Numerische Mathematik 137 (4) (2017)
Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis. IEEE Trans. Neural Networks Learn. Syst. 27 (6) (2016)
Bilal Abbasi, Jeff Calder, Adam M. Oberman
Anomaly detection and classification for streaming data using partial differential equations. CoRR (2016)
Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis. CoRR (2015)
Ko-Jen Hsiao, Jeff Calder, Alfred O. Hero III
Pareto-Depth for Multiple-Query Image Retrieval. IEEE Trans. Image Process. 24 (2) (2015)
Jeff Calder, Selim Esedoglu, Alfred O. Hero III
A PDE-based Approach to Nondominated Sorting. SIAM J. Numer. Anal. 53 (1) (2015)
Ko-Jen Hsiao, Jeff Calder, Alfred O. Hero III
Pareto-depth for Multiple-query Image Retrieval. CoRR (2014)
Jeff Calder, Selim Esedoglu, Alfred O. Hero III
A continuum limit for non-dominated sorting. ITA (2014)
Jeff Calder, Selim Esedoglu, Alfred O. Hero III
A Hamilton-Jacobi Equation for the Continuum Limit of Nondominated Sorting. SIAM J. Math. Anal. 46 (1) (2014)
Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
Multi-criteria Anomaly Detection using Pareto Depth Analysis. NIPS (2012)
Jeff Calder, Selim Esedoglu
On the Circular Area Signature for Graphs. SIAM J. Imaging Sci. 5 (4) (2012)
Jeff Calder, Abdol-Reza Mansouri
Anisotropic Image Sharpening via Well-Posed Sobolev Gradient Flows. SIAM J. Math. Anal. 43 (4) (2011)
Jeff Calder, Amir M. Tahmasebi, Abdol-Reza Mansouri
A variational approach to bone segmentation in CT images. Medical Imaging: Image Processing (2011)
Jeff Calder, Abdol-Reza Mansouri, Anthony J. Yezzi
New Possibilities in Image Diffusion and Sharpening via High-Order Sobolev Gradient Flows. J. Math. Imaging Vis. 40 (3) (2011)
Jeff Calder, Abdol-Reza Mansouri, Anthony J. Yezzi
Image Sharpening via Sobolev Gradient Flows. SIAM J. Imaging Sci. 3 (4) (2010)
Rachid Deriche, Jeff Calder, Maxime Descoteaux
Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation sets. Medical Image Anal. 13 (4) (2009)
Rachid Deriche, Jeff Calder
Real-time magnetic resonance Q-Ball imaging using Kalman filtering with Laplace-Beltrami regularization. Medical Imaging: Image Processing (2009)