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ORCIDChristos Tzamos
- > Home > Persons > Christos Tzamos
Publications
- 2024
[c71]Ilias Diakonikolas, Mingchen Ma, Lisheng Ren, Christos Tzamos:
Fast Co-Training under Weak Dependence via Stream-Based Active Learning. ICML 2024- [i68]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Online Learning of Halfspaces with Massart Noise. CoRR abs/2405.12958 (2024) - [i67]Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos:
First Order Stochastic Optimization with Oblivious Noise. CoRR abs/2408.02090 (2024) - 2023
- [c69]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Self-Directed Linear Classification. COLT 2023: 2919-2947 - [c68]Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos:
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions. COLT 2023: 5453-5475 - [c64]Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos:
First Order Stochastic Optimization with Oblivious Noise. NeurIPS 2023 - [c61]Ilias Diakonikolas, Christos Tzamos, Daniel M. Kane:
A Strongly Polynomial Algorithm for Approximate Forster Transforms and Its Application to Halfspace Learning. STOC 2023: 1741-1754 - [i64]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Self-Directed Linear Classification. CoRR abs/2308.03142 (2023) - [i63]Ilias Diakonikolas, Sushrut Karmalkar, Jongho Park, Christos Tzamos:
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions. CoRR abs/2309.11657 (2023) - [i61]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Agnostically Learning Multi-index Models with Queries. CoRR abs/2312.16616 (2023) - 2022
- [c59]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning a Single Neuron with Adversarial Label Noise via Gradient Descent. COLT 2022: 4313-4361 - [c57]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent. ICML 2022: 5118-5141 - [c52]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 - [i56]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning a Single Neuron with Adversarial Label Noise via Gradient Descent. CoRR abs/2206.08918 (2022) - [i53]Ilias Diakonikolas, Christos Tzamos, Daniel M. Kane:
A Strongly Polynomial Algorithm for Approximate Forster Transforms and its Application to Halfspace Learning. CoRR abs/2212.03008 (2022) - [i52]Ilias Diakonikolas, Christos Tzamos, Daniel Kane:
A Strongly Polynomial Algorithm for Approximate Forster Transforms and its Application to Halfspace Learning. Electron. Colloquium Comput. Complex. TR22 (2022) - 2021
- [c50]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Agnostic Proper Learning of Halfspaces under Gaussian Marginals. COLT 2021: 1522-1551 - [c49]Ilias Diakonikolas, Russell Impagliazzo, Daniel M. Kane, Rex Lei, Jessica Sorrell, Christos Tzamos:
Boosting in the Presence of Massart Noise. COLT 2021: 1585-1644 - [c47]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Ali Vakilian, Nikos Zarifis:
Learning Online Algorithms with Distributional Advice. ICML 2021: 2687-2696 - [c45]Ilias Diakonikolas, Daniel Kane, Christos Tzamos:
Forster Decomposition and Learning Halfspaces with Noise. NeurIPS 2021: 7732-7744 - [c44]Ilias Diakonikolas, Jongho Park, Christos Tzamos:
ReLU Regression with Massart Noise. NeurIPS 2021: 25891-25903 - [c42]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Efficiently learning halfspaces with Tsybakov noise. STOC 2021: 88-101 - [i51]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Agnostic Proper Learning of Halfspaces under Gaussian Marginals. CoRR abs/2102.05629 (2021) - [i49]Ilias Diakonikolas, Russell Impagliazzo, Daniel Kane, Rex Lei, Jessica Sorrell, Christos Tzamos:
Boosting in the Presence of Massart Noise. CoRR abs/2106.07779 (2021) - [i48]Ilias Diakonikolas, Daniel M. Kane, Christos Tzamos:
Forster Decomposition and Learning Halfspaces with Noise. CoRR abs/2107.05582 (2021) - [i47]Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Threshold Phenomena in Learning Halfspaces with Massart Noise. CoRR abs/2108.08767 (2021) - [i44]Ilias Diakonikolas, Jongho Park, Christos Tzamos:
ReLU Regression with Massart Noise. CoRR abs/2109.04623 (2021) - 2020
- [c41]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning Halfspaces with Massart Noise Under Structured Distributions. COLT 2020: 1486-1513 - [c37]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise. NeurIPS 2020 - [i42]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning Halfspaces with Massart Noise Under Structured Distributions. CoRR abs/2002.05632 (2020) - [i39]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Learning Halfspaces with Tsybakov Noise. CoRR abs/2006.06467 (2020) - [i38]Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos Zarifis:
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise. CoRR abs/2006.06742 (2020) - [i35]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) - 2019
- [c28]Ilias Diakonikolas, Themis Gouleakis, Christos Tzamos:
Distribution-Independent PAC Learning of Halfspaces with Massart Noise. NeurIPS 2019: 4751-4762 - [i28]Ilias Diakonikolas, Themis Gouleakis, Christos Tzamos:
Distribution-Independent PAC Learning of Halfspaces with Massart Noise. CoRR abs/1906.10075 (2019)
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last updated on 2024-09-13 01:37 CEST by the dblp team
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