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2020 – today
- 2024
[c24]Gautam Chandrasekaran, Adam R. Klivans, Vasilis Kontonis, Raghu Meka, Konstantinos Stavropoulos:
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension. COLT 2024: 876-922- [c23]Vasilis Kontonis, Mingchen Ma, Christos Tzamos:
Active Learning with Simple Questions. COLT 2024: 3064-3098 - [c22]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Agnostically Learning Multi-Index Models with Queries. FOCS 2024: 1931-1952 - [c21]Ilias Diakonikolas
, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis:
Super Non-singular Decompositions of Polynomials and Their Application to Robustly Learning Low-Degree PTFs. STOC 2024: 152-159 - [i24]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis:
Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs. CoRR abs/2404.00529 (2024) - [i23]Sitan Chen, Vasilis Kontonis, Kulin Shah:
Learning general Gaussian mixtures with efficient score matching. CoRR abs/2404.18893 (2024) - [i22]Vasilis Kontonis, Mingchen Ma, Christos Tzamos:
Active Learning with Simple Questions. CoRR abs/2405.07937 (2024) - [i21]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Online Learning of Halfspaces with Massart Noise. CoRR abs/2405.12958 (2024) - [i20]Gautam Chandrasekaran, Adam R. Klivans, Vasilis Kontonis, Konstantinos Stavropoulos, Arsen Vasilyan:
Efficient Discrepancy Testing for Learning with Distribution Shift. CoRR abs/2406.09373 (2024) - [i19]Gautam Chandrasekaran, Adam R. Klivans, Vasilis Kontonis, Raghu Meka, Konstantinos Stavropoulos:
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension. CoRR abs/2407.00966 (2024) - 2023
- [j1]Dimitris Fotakis, Anthimos Vardis Kandiros, Vasilis Kontonis, Stratis Skoulakis:
Opinion Dynamics with Limited Information. Algorithmica 85(12): 3855-3888 (2023) - [c20]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Self-Directed Linear Classification. COLT 2023: 2919-2947 - [c19]Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method. NeurIPS 2023 - [c18]Ilias Diakonikolas, Daniel Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis:
Efficient Testable Learning of Halfspaces with Adversarial Label Noise. NeurIPS 2023 - [c17]Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee:
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples. NeurIPS 2023 - [c16]Vasilis Kontonis, Mingchen Ma, Christos Tzamos:
The Gain from Ordering in Online Learning. NeurIPS 2023 - [i18]Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh, Cenk Baykal, Gaurav Menghani, Erik Vee:
SLaM: Student-Label Mixing for Semi-Supervised Knowledge Distillation. CoRR abs/2302.03806 (2023) - [i17]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Sihan Liu, Nikos Zarifis:
Efficient Testable Learning of Halfspaces with Adversarial Label Noise. CoRR abs/2303.05485 (2023) - [i16]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Self-Directed Linear Classification. CoRR abs/2308.03142 (2023) - [i15]Constantine Caramanis, Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Methods. CoRR abs/2310.05309 (2023) - [i14]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Agnostically Learning Multi-index Models with Queries. CoRR abs/2312.16616 (2023) - 2022
- [c15]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning a Single Neuron with Adversarial Label Noise via Gradient Descent. COLT 2022: 4313-4361 - [c14]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent. ICML 2022: 5118-5141 - [c13]Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Linear Label Ranking with Bounded Noise. NeurIPS 2022 - [c12]Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee:
Weighted Distillation with Unlabeled Examples. NeurIPS 2022 - [c11]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning general halfspaces with general Massart noise under the Gaussian distribution. STOC 2022: 874-885 - [i13]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning a Single Neuron with Adversarial Label Noise via Gradient Descent. CoRR abs/2206.08918 (2022) - [i12]Fotis Iliopoulos, Vasilis Kontonis, Cenk Baykal, Gaurav Menghani, Khoa Trinh, Erik Vee:
Weighted Distillation with Unlabeled Examples. CoRR abs/2210.06711 (2022) - 2021
- [c10]Constantinos Daskalakis, Vasilis Kontonis, Christos Tzamos, Emmanouil Zampetakis:
A Statistical Taylor Theorem and Extrapolation of Truncated Densities. COLT 2021: 1395-1398 - [c9]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Agnostic Proper Learning of Halfspaces under Gaussian Marginals. COLT 2021: 1522-1551 - [c8]Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Efficient Algorithms for Learning from Coarse Labels. COLT 2021: 2060-2079 - [c7]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Ali Vakilian, Nikos Zarifis:
Learning Online Algorithms with Distributional Advice. ICML 2021: 2687-2696 - [c6]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Efficiently learning halfspaces with Tsybakov noise. STOC 2021: 88-101 - [i11]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Agnostic Proper Learning of Halfspaces under Gaussian Marginals. CoRR abs/2102.05629 (2021) - [i10]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Threshold Phenomena in Learning Halfspaces with Massart Noise. CoRR abs/2108.08767 (2021) - [i9]Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos:
Efficient Algorithms for Learning from Coarse Labels. CoRR abs/2108.09805 (2021) - 2020
- [c5]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning Halfspaces with Massart Noise Under Structured Distributions. COLT 2020: 1486-1513 - [c4]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Nikos Zarifis:
Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks. COLT 2020: 1514-1539 - [c3]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise. NeurIPS 2020 - [i8]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning Halfspaces with Massart Noise Under Structured Distributions. CoRR abs/2002.05632 (2020) - [i7]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning Halfspaces with Tsybakov Noise. CoRR abs/2006.06467 (2020) - [i6]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise. CoRR abs/2006.06742 (2020) - [i5]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Nikos Zarifis:
Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks. CoRR abs/2006.12476 (2020) - [i4]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
A Polynomial Time Algorithm for Learning Halfspaces with Tsybakov Noise. CoRR abs/2010.01705 (2020) - [i3]Vasilis Kontonis, Sihan Liu, Christos Tzamos:
Convergence and Sample Complexity of SGD in GANs. CoRR abs/2012.00732 (2020)
2010 – 2019
- 2019
- [c2]Vasilis Kontonis, Christos Tzamos, Manolis Zampetakis:
Efficient Truncated Statistics with Unknown Truncation. FOCS 2019: 1578-1595 - [i2]Vasilis Kontonis, Christos Tzamos, Manolis Zampetakis:
Efficient Truncated Statistics with Unknown Truncation. CoRR abs/1908.01034 (2019) - 2018
- [c1]Dimitris Fotakis, Anthimos Vardis Kandiros, Vasilis Kontonis, Stratis Skoulakis:
Opinion Dynamics with Limited Information. WINE 2018: 282-296 - 2017
- [i1]Dimitris Fotakis, Vasilis Kontonis, Piotr Krysta, Paul G. Spirakis:
Learning Powers of Poisson Binomial Distributions. CoRR abs/1707.05662 (2017)
Coauthor Index
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last updated on 2024-12-10 20:51 CET by the dblp team
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