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Nikos Zarifis
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Year
Algorithms and sq lower bounds for pac learning one-hidden-layer relu networks
I Diakonikolas, DM Kane, V Kontonis, N Zarifis
Conference on Learning Theory, 1514-1539, 2020
642020
Near-optimal sq lower bounds for agnostically learning halfspaces and relus under gaussian marginals
I Diakonikolas, D Kane, N Zarifis
Advances in Neural Information Processing Systems 33, 13586-13596, 2020
602020
Learning halfspaces with massart noise under structured distributions
I Diakonikolas, V Kontonis, C Tzamos, N Zarifis
Conference on Learning Theory, 1486-1513, 2020
562020
The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model
I Diakonikolas, DM Kane, T Pittas, N Zarifis
Conference on Learning Theory, 1552-1584, 2021
37*2021
Non-convex SGD learns halfspaces with adversarial label noise
I Diakonikolas, V Kontonis, C Tzamos, N Zarifis
Advances in Neural Information Processing Systems 33, 18540-18549, 2020
252020
Efficiently learning halfspaces with tsybakov noise
I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
21*2021
Learning general halfspaces with general massart noise under the gaussian distribution
I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022
20*2022
Learning online algorithms with distributional advice
I Diakonikolas, V Kontonis, C Tzamos, A Vakilian, N Zarifis
International Conference on Machine Learning, 2687-2696, 2021
182021
Reallocating multiple facilities on the line
D Fotakis, L Kavouras, P Kostopanagiotis, P Lazos, S Skoulakis, N Zarifis
Theoretical Computer Science 858, 13-34, 2021
172021
A polynomial time algorithm for learning halfspaces with tsybakov noise
I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis
arXiv preprint arXiv:2010.01705, 2020
142020
Learning a single neuron with adversarial label noise via gradient descent
I Diakonikolas, V Kontonis, C Tzamos, N Zarifis
Conference on Learning Theory, 4313-4361, 2022
122022
Agnostic proper learning of halfspaces under gaussian marginals
I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis
Conference on Learning Theory, 1522-1551, 2021
92021
Learning general halfspaces with adversarial label noise via online gradient descent
I Diakonikolas, V Kontonis, C Tzamos, N Zarifis
International Conference on Machine Learning, 5118-5141, 2022
52022
Efficient testable learning of halfspaces with adversarial label noise
I Diakonikolas, D Kane, V Kontonis, S Liu, N Zarifis
Advances in Neural Information Processing Systems 36, 2024
32024
SQ lower bounds for learning mixtures of separated and bounded covariance gaussians
I Diakonikolas, DM Kane, T Pittas, N Zarifis
The Thirty Sixth Annual Conference on Learning Theory, 2319-2349, 2023
22023
Robustly Learning a Single Neuron via Sharpness
P Wang, N Zarifis, I Diakonikolas, J Diakonikolas
arXiv preprint arXiv:2306.07892, 2023
22023
Self-directed linear classification
I Diakonikolas, V Kontonis, C Tzamos, N Zarifis
The Thirty Sixth Annual Conference on Learning Theory, 2919-2947, 2023
12023
Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise
I Diakonikolas, J Diakonikolas, DM Kane, P Wang, N Zarifis
The Thirty Sixth Annual Conference on Learning Theory, 2211-2239, 2023
12023
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise
I Diakonikolas, J Diakonikolas, D Kane, P Wang, N Zarifis
Advances in Neural Information Processing Systems 36, 2024
2024
Agnostically Learning Multi-index Models with Queries
I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis
arXiv preprint arXiv:2312.16616, 2023
2023
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