ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
In a trend that reflects the increasing demand for intelligent applications driven by business data, IBM today is building out a significant number of applications that leverage m...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We propose a max-margin formulation for the multi-label classification problem where the goal is to tag a data point with a set of pre-specified labels. Given a set of L labels, a...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Many modern visual recognition algorithms incorporate a step of spatial `pooling', where the outputs of several nearby feature detectors are combined into a local or global `...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is ...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present multi-task structure learning for Gaussian graphical models. We discuss uniqueness and boundedness of the optimal solution of the maximization problem. A block coordina...