Vasilis Kontonis
Orcid: 0000-0002-2229-1879
According to our database1,
Vasilis Kontonis
authored at least 37 papers
between 2017 and 2025.
Collaborative distances:
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Bibliography
2025
Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions.
CoRR, February, 2025
2024
Super Non-singular Decompositions of Polynomials and Their Application to Robustly Learning Low-Degree PTFs.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
2023
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
Learning general halfspaces with general Massart noise under the Gaussian distribution.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
2021
Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the Conference on Learning Theory, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the Conference on Learning Theory, 2020
2019
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019
2017