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» Optimization of Convex Risk Functions
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SIAMMAX
2011
92views more  SIAMMAX 2011»
13 years 1 months ago
A Condition for Convexity of a Product of Positive Definite Quadratic Forms
A sufficient condition for the convexity of a finite product of positive definite quadratic forms is given in terms of the condition numbers of the underlying matrices. When only...
Minghua Lin, Gord Sinnamon
ICML
2007
IEEE
14 years 11 months ago
Relational clustering by symmetric convex coding
Relational data appear frequently in many machine learning applications. Relational data consist of the pairwise relations (similarities or dissimilarities) between each pair of i...
Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip...
NIPS
2008
13 years 11 months ago
Clustered Multi-Task Learning: A Convex Formulation
In multi-task learning several related tasks are considered simultaneously, with the hope that by an appropriate sharing of information across tasks, each task may benefit from th...
Laurent Jacob, Francis Bach, Jean-Philippe Vert
MOR
2008
73views more  MOR 2008»
13 years 10 months ago
Separation of Nonconvex Sets with General Augmenting Functions
In this paper, we consider two geometric optimization problems that are dual to each other and characterize conditions under which the optimal values of the two problems are equal...
Angelia Nedic, Asuman E. Ozdaglar
TASLP
2010
142views more  TASLP 2010»
13 years 5 months ago
Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation
We consider the problem of extracting the source signals from an under-determined convolutive mixture assuming known mixing filters. State-of-the-art methods operate in the time-fr...
M. Kowalski, Emmanuel Vincent, Rémi Gribonv...