Nikos Zarifis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
5
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLT | Robustly Learning Monotone Generalized Linear Models via Data Augmentation. | Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas |
| 2025 | FOCS | Robust Learning of Multi-index Models via Iterative Subspace Approximation. | Ilias Diakonikolas, Giannis Iakovidis, Daniel M. Kane, Nikos Zarifis |
| 2025 | ICML | Online Linear Classification with Massart Noise. | Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis |
| 2024 | COLT | Testable Learning of General Halfspaces with Adversarial Label Noise. | Ilias Diakonikolas, Daniel M. Kane, Sihan Liu, Nikos Zarifis |
| 2024 | COLT | Statistical Query Lower Bounds for Learning Truncated Gaussians. | Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis |
| 2024 | FOCS | Agnostically Learning Multi-Index Models with Queries. | Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis |
| 2024 | ICML | Robustly Learning Single-Index Models via Alignment Sharpness. | Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas |
| 2024 | STOC | Super Non-singular Decompositions of Polynomials and Their Application to Robustly Learning Low-Degree PTFs. | Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis |
| 2023 | COLT | Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. | Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis |
| 2023 | COLT | SQ Lower Bounds for Learning Mixtures of Separated and Bounded Covariance Gaussians. | Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis |
| 2023 | COLT | Self-Directed Linear Classification. | Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis |
| 2023 | ICML | Robustly Learning a Single Neuron via Sharpness. | Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas |
| 2022 | COLT | Learning a Single Neuron with Adversarial Label Noise via Gradient Descent. | Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis |
| 2022 | ICML | Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent. | Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis |
| 2022 | STOC | Learning general halfspaces with general Massart noise under the Gaussian distribution. | Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis |
| 2021 | COLT | Agnostic Proper Learning of Halfspaces under Gaussian Marginals. | Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis |
| 2021 | COLT | The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model. | Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis |
| 2021 | ICML | Learning Online Algorithms with Distributional Advice. | Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Ali Vakilian, Nikos Zarifis |
| 2021 | STOC | Efficiently learning halfspaces with Tsybakov noise. | Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis |
| 2020 | COLT | Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks. | Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Nikos Zarifis |
| 2020 | COLT | Learning Halfspaces with Massart Noise Under Structured Distributions. | Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis |
| 2019 | IJCAI | Reallocating Multiple Facilities on the Line. | Dimitris Fotakis, Loukas Kavouras, Panagiotis Kostopanagiotis, Philip Lazos, Stratis Skoulakis, Nikos Zarifis |