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Vasilis Kontonis

Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions
2025 · Kim, Jaeyeon, Shah, Kulin, et al. · arXiv (Cornell University) · 123
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Learning general Gaussian mixtures with efficient score matching
2024 · Chen, Sitan, Kontonis, Vasilis, et al. · arXiv (Cornell University) · 40
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Wait, Wait, Wait... Why Do Reasoning Models Loop?
2025 · Pipis, Charilaos, Garg, Shivam, et al. · arXiv (Cornell University) · 34
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Learning Halfspaces with Massart Noise Under Structured Distributions
2020 · Diakonikolas, Ilias, Kontonis, Vasilis, et al. · arXiv (Cornell University) · 27
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Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks
2020 · Diakonikolas, Ilias, Kane, Daniel M., et al. · arXiv (Cornell University) · 25
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MEMENTO: Teaching LLMs to Manage Their Own Context
2026 · Kontonis, Vasilis, Zeng, Yuchen, et al. · arXiv (Cornell University) · 20
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Efficient Truncated Statistics with Unknown Truncation
2019 · Vasilis Kontonis, Christos Tzamos, et al. · Annual Symposium on Foundations of Computer Science · 15
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Learning general halfspaces with general Massart noise under the Gaussian distribution
2022 · Ilias Diakonikolas, Daniel M. Kane, et al. · ACM Symposium on Theory of Computing (STOC) · 13
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A Polynomial Time Algorithm for Learning Halfspaces with Tsybakov Noise
2020 · Diakonikolas, Ilias, Kane, Daniel M., et al. · arXiv (Cornell University) · 12
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Scaling Discovery through Test-Time Communication
2026 · Park, Jongho, Kontonis, Vasilis, et al. · arXiv (Cornell University) · 11
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Opinion Dynamics with Limited Information
2018 · Dimitris Fotakis, Vardis Kandiros, et al. · Lecture notes in computer science · 11
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Learning Halfspaces with Tsybakov Noise
2020 · Diakonikolas, Ilias, Kontonis, Vasilis, et al. · arXiv (Cornell University) · 10
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Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
2020 · Diakonikolas, Ilias, Kontonis, Vasilis, et al. · arXiv (Cornell University) · 9
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Opinion Dynamics with Limited Information
2023 · Dimitris Fotakis, Vardis Kandiros, et al. · Algorithmica · 8
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Agnostically Learning Multi-Index Models with Queries
2026 · Ilias Diakonikolas, Daniel Kane, et al. · SIAM Journal on Computing · 7
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Efficiently learning halfspaces with Tsybakov noise
2021 · Ilias Diakonikolas, Daniel M. Kane, et al. · ACM Symposium on Theory of Computing (STOC) · 7
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Weighted Distillation with Unlabeled Examples
2022 · Fotis Iliopoulos, Vasilis Kontonis, et al. · neural information processing systems · 6
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Agnostically Learning Multi-Index Models with Queries
2024 · Ilias Diakonikolas, Daniel M. Kane, et al. · Annual Symposium on Foundations of Computer Science · 4
Fork-and-Flush: Escaping Idea Basins in Autoresearch Agents
2026 · Cai, Ziyang, Ziakas, Christos, et al. · arXiv (Cornell University) · 3
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Online Learning of Halfspaces with Massart Noise
2024 · Diakonikolas, Ilias, Kontonis, Vasilis, et al. · arXiv (Cornell University) · 3
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Efficient Discrepancy Testing for Learning with Distribution Shift
2024 · Gautam Chandrasekaran, Adam Klivans, et al. · neural information processing systems · 3
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SLaM: Student-Label Mixing for Distillation with Unlabeled Examples
2023 · Vasilis Kontonis, Fotis Iliopoulos, et al. · neural information processing systems · 3
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Efficient Algorithms for Learning from Coarse Labels
2021 · Fotakis, Dimitris, Kalavasis, Alkis, et al. · arXiv (Cornell University) · 3
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Agnostic Proper Learning of Halfspaces under Gaussian Marginals
2021 · Diakonikolas, Ilias, Kane, Daniel M., et al. · arXiv (Cornell University) · 3
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Convergence and Sample Complexity of SGD in GANs
2020 · Kontonis, Vasilis, Liu, Sihan, et al. · arXiv (Cornell University) · 3
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Works count: 40
Citation count: 414
H-index: 11
I10-index: 12
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