Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1306.5806
Cited By
v1
v2
v3 (latest)
Omnibus CLTs for Fréchet means and nonparametric inference on non-Euclidean spaces
24 June 2013
R. Bhattacharya
Lizhen Lin
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Omnibus CLTs for Fréchet means and nonparametric inference on non-Euclidean spaces"
33 / 33 papers shown
Large Deviations Principle for Bures-Wasserstein Barycenters
Adam Quinn Jaffe
Leonardo P. M. Santoro
370
1
0
17 Sep 2024
Uniform Consistency of Generalized Fréchet Means
A. Aveni
Sayan Mukherjee
FedML
AI4CE
299
3
0
14 Aug 2024
A Lower Bound for Estimating Fréchet Means
Shayan Hundrieser
B. Eltzner
S. Huckemann
231
2
0
19 Feb 2024
Convex generalized Fréchet means in a metric tree
Gabriel Romon
Victor-Emmanuel Brunel
222
6
0
26 Oct 2023
Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation
Neural Information Processing Systems (NeurIPS), 2023
Kyunghee Han
Dogyoon Song
278
6
0
16 May 2023
Geodesically convex
M
M
M
-estimation in metric spaces
Annual Conference Computational Learning Theory (COLT), 2023
Victor-Emmanuel Brunel
270
6
0
05 May 2023
Concentration of empirical barycenters in metric spaces
International Conference on Algorithmic Learning Theory (ALT), 2023
Victor-Emmanuel Brunel
Jordan Serres
319
9
0
02 Mar 2023
Intrinsic and extrinsic deep learning on manifolds
Electronic Journal of Statistics (EJS), 2023
Yi-Zheng Fang
Ilsang Ohn
Vijay Gupta
Lizhen Lin
220
5
0
16 Feb 2023
Fréchet Mean Set Estimation in the Hausdorff Metric, via Relaxation
Moise Blanchard
Adam Quinn Jaffe
190
3
0
22 Dec 2022
Extrinsic Bayesian Optimizations on Manifolds
Yi-Zheng Fang
Mu Niu
P. Cheung
Lizhen Lin
316
1
0
21 Dec 2022
Central limit theorem for intrinsic Frechet means in smooth compact Riemannian manifolds
Probability theory and related fields (PTRF), 2022
T. Hotz
Huiling Le
A. Wood
90
5
0
31 Oct 2022
Random Forest Weighted Local Fr\échet Regression with Random Objects
Journal of machine learning research (JMLR), 2022
Rui Qiu
Zhou Yu
Ruoqing Zhu
539
13
0
10 Feb 2022
Finite Sample Smeariness on Spheres
International Conference on Geometric Science of Information (GSI), 2021
B. Eltzner
Shayan Hundrieser
S. Huckemann
148
6
0
28 Feb 2021
Smeariness Begets Finite Sample Smeariness
International Conference on Geometric Science of Information (GSI), 2021
Do Tran
B. Eltzner
S. Huckemann
161
7
0
28 Feb 2021
Statistical Inference on the Hilbert Sphere with Application to Random Densities
Electronic Journal of Statistics (EJS), 2021
Xiongtao Dai
195
19
0
02 Jan 2021
Limit Theorems for Fréchet Mean Sets
S. Evans
Adam Quinn Jaffe
306
5
0
23 Dec 2020
Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds
Machine-mediated learning (ML), 2020
Lizhen Lin
B. Saparbayeva
M. Zhang
David B. Dunson
227
7
0
18 Oct 2020
Intrinsic Gaussian Processes on Manifolds and Their Accelerations by Symmetry
Ke Ye
Mu Niu
P. Cheung
Zhenwen Dai
Yuan Liu
318
2
0
25 Jun 2020
Robust Optimization and Inference on Manifolds
Statistica sinica (SS), 2020
Lizhen Lin
Drew Lazar
Bayan Sarpabayeva
David B. Dunson
188
8
0
11 Jun 2020
Hypothesis testing for populations of networks
Li Chen
Jie Zhou
Lizhen Lin
407
25
0
09 Nov 2019
Behavior of Fréchet mean and Central Limit Theorems on spheres
Do Tran
88
0
0
05 Nov 2019
Stability of the Cut Locus and a Central Limit Theorem for Fréchet Means of Riemannian Manifolds
B. Eltzner
F. Galaz‐García
S. Huckemann
W. Tuschmann
113
16
0
01 Sep 2019
Communication Efficient Parallel Algorithms for Optimization on Manifolds
B. Saparbayeva
M. Zhang
Lizhen Lin
265
5
0
26 Oct 2018
Network Distance Based on Laplacian Flows on Graphs
D. Bao
Kisung You
Lizhen Lin
185
1
0
05 Oct 2018
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings
Daniele Zambon
L. Livi
Cesare Alippi
173
7
0
03 May 2018
A Smeary Central Limit Theorem for Manifolds with Application to High Dimensional Spheres
B. Eltzner
S. Huckemann
148
55
0
19 Jan 2018
Differential Geometry for Model Independent Analysis of Images and Other Non-Euclidean Data: Recent Developments
R. Bhattacharya
Lizhen Lin
161
3
0
03 Jan 2018
Fréchet Analysis Of Variance For Random Objects
Paromita Dubey
Hans-Georg Müller
205
96
0
08 Oct 2017
Averages of Unlabeled Networks: Geometric Characterization and Asymptotic Behavior
E. D. Kolaczyk
Lizhen Lin
S. Rosenberg
Jie Xu
Jackson Walters
415
63
0
08 Sep 2017
Principal Component Analysis for Functional Data on Riemannian Manifolds and Spheres
Xiongtao Dai
Hans-Georg Müller
211
90
0
17 May 2017
Backward Nested Descriptors Asymptotics with Inference on Stem Cell Differentiation
S. Huckemann
B. Eltzner
217
26
0
03 Sep 2016
Extrinsic local regression on manifold-valued data
Lizhen Lin
Brian St. Thomas
Hongtu Zhu
David B. Dunson
223
75
0
10 Aug 2015
Bayesian nonparametric inference on the Stiefel manifold
Lizhen Lin
Vinayak A. Rao
David B. Dunson
395
21
0
04 Nov 2013
1
Page 1 of 1
