Search Results - "Mishra, Bamdev"

Federated Learning on Riemannian Manifolds with Differential Privacy.

Authors: Huang, Zhenwei Huang, Wen Jawanpuria, Pratik et al.

Source: Machine Learning; Apr2026, Vol. 115 Issue 4, p1-52, 52p

Riemannian block SPD coupling manifold and its application to optimal transport.

Authors: Han, Andi Mishra, Bamdev Jawanpuria, Pratik et al.

Source: Machine Learning; Apr2024, Vol. 113 Issue 4, p1595-1622, 28p

Differentially private Riemannian optimization.

Authors: Han, Andi Mishra, Bamdev Jawanpuria, Pratik et al.

Source: Machine Learning; Mar2024, Vol. 113 Issue 3, p1133-1161, 29p

A Riemannian gossip approach to subspace learning on Grassmann manifold.

Authors: Mishra, Bamdev Kasai, Hiroyuki Jawanpuria, Pratik et al.

Source: Machine Learning; Oct2019, Vol. 108 Issue 10, p1783-1803, 21p

RIEMANNIAN HAMILTONIAN METHODS FOR MIN-MAX OPTIMIZATION ON MANIFOLDS.

Authors: HAN, ANDI MISHRA, BAMDEV JAWANPURIA, PRATIK et al.

Source: SIAM Journal on Optimization. 2023, Vol. 33 Issue 3, p1797-1827. 31p.

Subjects: Generative adversarial networks, Hamilton's principle function, Riemannian manifolds

Fixed-rank matrix factorizations and Riemannian low-rank optimization.

Authors: Mishra, Bamdev Meyer, Gilles Bonnabel, Silvère et al.

Source: Computational Statistics. Jun2014, Vol. 29 Issue 3/4, p591-621. 31p.

RIEMANNIAN STOCHASTIC VARIANCE REDUCED GRADIENT ALGORITHM WITH RETRACTION AND VECTOR TRANSPORT.

Authors: HIROYUKI SATO HIROYUKI KASAI MISHRA, BAMDEV

Source: SIAM Journal on Optimization; 2019, Vol. 29 Issue 2, p1444-1472, 29p

RIEMANNIAN PRECONDITIONING.

Authors: MISHRA, BAMDEV SEPULCHRE, RODOLPHE

Source: SIAM Journal on Optimization. 2016, Vol. 26 Issue 1, p635-660. 26p.

Subjects: Riemannian geometry, Quadratic programming, Manifolds (Mathematics), Constrained optimization, Matrices (Mathematics), Lyapunov functions, Stochastic convergence

Manopt, a Matlab Toolbox for Optimization on Manifolds.

Authors: Boumal, Nicolas Mishra, Bamdev Absil, P. A. et al.

Source: Journal of Machine Learning Research. 2014, Vol. 15 Issue 4, p1455-1459. 5p.

Subjects: MatLab (Computer software), Mathematical optimization, Manifolds (Mathematics), Nonlinear theories, Algorithms, Machine learning

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization.

Authors: Sun, Yanfeng Gao, Junbin Hong, Xia et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Mar2016, Vol. 38 Issue 3, p476-489, 14p