collaborators

5 papers

cs.LG2025

Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise

Ilias Diakonikolas, Mingchen Ma, Lisheng Ren +1

We study the task of Multiclass Linear Classification (MLC) in the distribution-free PAC model with Random Classification Noise (RCN). Specifically, the learner is given a set of l…

cs.LG2025

A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise

Ilias Diakonikolas, Nikos Zarifis

We study the problem of PAC learning -margin halfspaces in the presence of Massart noise. Without computational considerations, the sample complexity of this learning problem is…

cs.LG2024

Active Learning of General Halfspaces: Label Queries vs Membership Queries

Ilias Diakonikolas, Daniel M. Kane, Mingchen Ma

We study the problem of learning general (i.e., not necessarily homogeneous) halfspaces under the Gaussian distribution on in the presence of some form of query access. In th…

cs.DS2024

SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More

Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia +1

We study for random rectangular matrices. If is an matrix with independent Gaussian entries, we give a new family of…

cs.LG2024

Efficient Testable Learning of General Halfspaces with Adversarial Label Noise

Ilias Diakonikolas, Daniel M. Kane, Sihan Liu +1

We study the task of testable learning of general -- not necessarily homogeneous -- halfspaces with adversarial label noise with respect to the Gaussian distribution. In the testab…