In online classification, a learner is presented with a sequence of exam...
We study the problem of learning general (i.e., not necessarily homogene...
We study the problem of PAC learning γ-margin halfspaces with Random
Cla...
We study the complexity of learning mixtures of separated Gaussians with...
We study the problem of learning a single neuron with respect to the
L_2...
We give the first polynomial-time algorithm for the testable learning of...
We study the fundamental problem of learning a single neuron, i.e., a
fu...
We study the problem of PAC learning halfspaces on ℝ^d with
Massart nois...
We study the problem of agnostically learning halfspaces under the Gauss...
We study the problem of agnostic learning under the Gaussian distributio...
We study the problem of PAC learning homogeneous halfspaces in the prese...
We study the fundamental problems of agnostically learning halfspaces an...
We study the problem of PAC learning one-hidden-layer ReLU networks with...
We study the problem of agnostically learning homogeneous halfspaces in ...
We study the efficient PAC learnability of halfspaces in the presence of...
We study the problem of learning halfspaces with Massart noise in the
di...