James R. Voss

Publication Activity (10 Years)

Years Active: 2012-2018
Publications (10 Years): 3

Top Topics

Spectral Clustering

Eigendecomposition

Blind Signal Separation

Top Venues

Int. J. Parallel Emergent Distributed Syst.

Publications

Mikhail Belkin, Luis Rademacher, James R. Voss
Eigenvectors of Orthogonally Decomposable Functions. SIAM J. Comput. 47 (2) (2018)
Mikhail Belkin, Luis Rademacher, James R. Voss
Basis Learning as an Algorithmic Primitive. COLT (2016)
James R. Voss, Mikhail Belkin, Luis Rademacher
The Hidden Convexity of Spectral Clustering. AAAI (2016)
James R. Voss, Mikhail Belkin, Luis Rademacher
Optimal Recovery in Noisy ICA. CoRR (2015)
James R. Voss, Mikhail Belkin, Luis Rademacher
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA. NIPS (2015)
Mikhail Belkin, Luis Rademacher, James R. Voss
The Hidden Convexity of Spectral Clustering. CoRR (2014)
Joseph Anderson, Mikhail Belkin, Navin Goyal, Luis Rademacher, James R. Voss
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures. COLT (2014)
Eddie Cheng, Philip Hu, Roger Jia, László Lipták, Brian Scholten, James R. Voss
Matching preclusion and conditional matching preclusion for pancake and burnt pancake graphs. Int. J. Parallel Emergent Distributed Syst. 29 (5) (2014)
Mikhail Belkin, Luis Rademacher, James R. Voss
Learning a Hidden Basis Through Imperfect Measurements: An Algorithmic Primitive. CoRR (2014)
James R. Voss, Luis Rademacher, Mikhail Belkin
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis. NIPS (2013)
Joseph Anderson, Mikhail Belkin, Navin Goyal, Luis Rademacher, James R. Voss
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures. CoRR (2013)
Mikhail Belkin, Luis Rademacher, James R. Voss
Blind Signal Separation in the Presence of Gaussian Noise. COLT (2013)
Mikhail Belkin, Luis Rademacher, James R. Voss
Blind Signal Separation in the Presence of Gaussian Noise CoRR (2012)