Vasilis Kontonis

According to our database¹, Vasilis Kontonis authored at least 29 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Opinion Dynamics with Limited Information.

[BibT_eX]

[DOI]

Dimitris Fotakis

Anthimos Vardis Kandiros

Vasilis Kontonis

Stratis Skoulakis

Algorithmica, December, 2023

Agnostically Learning Multi-index Models with Queries.

[BibT_eX]

[DOI]

CoRR, 2023

Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods.

[BibT_eX]

[DOI]

Constantine Caramanis

CoRR, 2023

SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

The Gain from Ordering in Online Learning.

[BibT_eX]

[DOI]

Vasilis Kontonis

Mingchen Ma

Christos Tzamos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SLaM: Student-Label Mixing for Distillation with Unlabeled Examples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Testable Learning of Halfspaces with Adversarial Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method.

[BibT_eX]

[DOI]

Constantine Caramanis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Directed Linear Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Learning general halfspaces with general Massart noise under the Gaussian distribution.

[BibT_eX]

[DOI]

Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Weighted Distillation with Unlabeled Examples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Linear Label Ranking with Bounded Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Learning a Single Neuron with Adversarial Label Noise via Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Threshold Phenomena in Learning Halfspaces with Massart Noise.

[BibT_eX]

[DOI]

CoRR, 2021

Efficiently learning halfspaces with Tsybakov noise.

[BibT_eX]

[DOI]

Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

Learning Online Algorithms with Distributional Advice.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Algorithms for Learning from Coarse Labels.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2021

Agnostic Proper Learning of Halfspaces under Gaussian Marginals.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2021

A Statistical Taylor Theorem and Extrapolation of Truncated Densities.

[BibT_eX]

[DOI]

Constantinos Daskalakis

Vasilis Kontonis

Christos Tzamos

Emmanouil Zampetakis

Proceedings of the Conference on Learning Theory, 2021

2020

Convergence and Sample Complexity of SGD in GANs.

[BibT_eX]

[DOI]

Vasilis Kontonis

Sihan Liu

Christos Tzamos

CoRR, 2020

A Polynomial Time Algorithm for Learning Halfspaces with Tsybakov Noise.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Halfspaces with Tsybakov Noise.

[BibT_eX]

[DOI]

CoRR, 2020

Non-Convex SGD Learns Halfspaces with Adversarial Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Halfspaces with Massart Noise Under Structured Distributions.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2020

Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2020

2019

Efficient Truncated Statistics with Unknown Truncation.

[BibT_eX]

[DOI]

Vasilis Kontonis

Christos Tzamos

Manolis Zampetakis

Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

2017

Learning Powers of Poisson Binomial Distributions.

[BibT_eX]

[DOI]

CoRR, 2017

Vasilis Kontonis

Timeline

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On csauthors.net:

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