Blind Signal Separation in the Presence of Gaussian Noise. - Mikhail Belkin; Luis Rademacher; James R. Voss (COLT, 2013)

Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis. - James R. Voss; Luis Rademacher; Mikhail Belkin (NIPS, 2013)

The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures. - Joseph Anderson; Mikhail Belkin; Navin Goyal; Luis Rademacher; James R. Voss (COLT, 2014)

Learning a Hidden Basis Through Imperfect Measurements: An Algorithmic Primitive. - Mikhail Belkin; Luis Rademacher; James R. Voss (CoRR, 2014)

Matching preclusion and conditional matching preclusion for pancake and burnt pancake graphs. - Eddie Cheng 001; Philip Hu; Roger Jia; László Lipták; Brian Scholten; James R. Voss (Int. J. Parallel Emergent Distributed Syst., 2014)

A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA. - James R. Voss; Mikhail Belkin; Luis Rademacher (NIPS, 2015)

Optimal Recovery in Noisy ICA. - James R. Voss; Mikhail Belkin; Luis Rademacher (CoRR, 2015)

The Hidden Convexity of Spectral Clustering. - James R. Voss; Mikhail Belkin; Luis Rademacher (AAAI, 2016)

Basis Learning as an Algorithmic Primitive. - Mikhail Belkin; Luis Rademacher; James R. Voss (COLT, 2016)

Eigenvectors of Orthogonally Decomposable Functions. - Mikhail Belkin; Luis Rademacher; James R. Voss (SIAM J. Comput., 2018)