Nikos Karampatziakis
Conferences
- N. Karampatziakis, P. Mineiro, and A. Ramdas
"Off-Policy Confidence Sequences"
In Proceedings of the 38th International Conference on Machine Learning, ICML, 2021.
- N. Karampatziakis, J. Langford and P. Mineiro
"Empirical Likelihood for Contextual Bandits"
In Advances in Neural Information Processing Systems 33, 2020.
- R. Tandon, Q. Lei, A. G. Dimakis and N. Karampatziakis
"Gradient Coding: Avoiding Stragglers in Distributed Learning"
In Proceedings of the 34th International Conference on Machine Learning, ICML, 2017.
- H. Daume III, J. Langford, N. Karampatziakis and P. Mineiro
"Logarithmic Time One Against Some"
In Proceedings of the 34th International Conference on Machine Learning, ICML, 2017.
- P. Mineiro and N. Karampatziakis
"Fast Label Embeddings via Randomized Linear Algebra"
In Proceedings of the 25th European Conference on Machine Learning, ECML, 2015.
- A. Agarwal, S. M. Kakade, N. Karampatziakis, L. Song, and G Valiant
"Least Squares Revisited: Scalable Approaches for Multi-class Prediction"
In Proceedings of the 31st International Conference on Machine Learning, ICML, 2014.
- N. Karampatziakis and P. Mineiro
"Discriminative Features via Generalized Eigenvectors"
In Proceedings of the 31st International Conference on Machine Learning, ICML, 2014.
- X. Chen, A. Mueen, V. K. Narayanan, N. Karampatziakis, G. Bansal and V. Kumar
"Online Discovery of Group Level Events in Time Series"
In Proceedings of the SIAM International Conference on Data Mining, SDM 2014.
- P. Mineiro and N. Karampatziakis.
"Loss-Proportional Subsampling for Subsequent ERM"
In Proceedings of the 30th International Conference on Machine Learning, ICML, 2013.
- N. Karampatziakis, J. Stokes, A. Thomas, M. Marinescu.
" Using File Relationships in Malware Classification".
In Detection of Intrusions and Malware & Vulnerability Assessment, DIMVA, 2012.
- N. Karampatziakis and J. Langford.
" Online Importance Weight Aware Updates".
In Uncertainty in Artificial Intelligence, UAI, 2011.
Full version. Slides.
- M. Dudik, D. Hsu, S. Kale, N. Karampatziakis, J. Langford, L. Reyzin, T. Zhang.
""Efficient Optimal Learning for Contextual Bandits".
In Uncertainty in Artificial Intelligence, UAI, 2011.
Full version. Poster.
- N. Karampatziakis.
"Static Analysis of Binary Executables using Structural SVMs".
In Advances in Neural Information Processing Systems 23, 2010.
Poster.
- N. Karampatziakis and D. Kozen.
"Learning Prediction Suffix Trees with Winnow".
In Proceedings of the 26th International Conference on Machine Learning, 2009.
AI Seminar Slides.
- R. Caruana, N. Karampatziakis, and A. Yessenalina.
"An Empirical Evaluation of Supervised Learning in High Dimensions".
In Proceedings of the 25th International Conference on Machine Learning, 2008.
Slides.
Poster.
- I.A. Kakadiaris, G. Passalis, G. Toderici, N. Murtuza, Y. Lu, N. Karampatziakis, and T. Theoharis.
"Three-Dimensional Face recognition in the presence of facial expressions: An annotated deformable model approach".
IEEE Trans. on Pattern Analysis and Machine Intelligence, 29(4):640-649, April 2007.
- I.A. Kakadiaris, G. Passalis, G. Toderici, Y. Lu, N. Karampatziakis, N. Murtuza, and T. Theoharis.
"Expression-invariant multispectral face recognition: you can smile now!".
Biometric Technology for Human Identification III, Defense and Security Symposium, April 2006.
- N. Karampatziakis, G. Paliouras, D. Pierrakos, P. Stamatopoulos.
B
"Navigation Pattern Discovery Using Grammatical Inference".
In Proceedings of the 7th International Colloquium on Grammatical Inference (ICGI),
Lecture Notes in Artificial Intelligence, n. 3264, pp. 187 - 198, Springer Verlag, 2004.
Workshops
- N. Karampatziakis, J. Langford and P. Mineiro
"Empirical Likelihood for Contextual Bandits
NeurIPS 2019 Workshop on Optimization for RL.
- N. Karampatziakis, S. Kochman, J. Huang, P. Mineiro, K. Osborne, W. Chen
"Lessons from Contextual Bandit Learning in a Customer Support Bot
ICML 2019 Workshop on Real World RL.
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R. Tandon, Q. Lei, A. G. Dimakis and N. Karampatziakis
"Gradient Coding"
NIPS 2016 Workshop on Machine Learning Systems.
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K. Jasinska and N. Karampatziakis
"Log-time and Log-space Extreme Classification"
NIPS 2016 Workshop on Extreme Classification.
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H. He, P. Mineiro and N. Karampatziakis
"Active Information Acquisition"
NIPS 2015 Workshop on Machine Learning From and For Adaptive User Technologies.
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P. Mineiro and N. Karampatziakis
"Fast Label Embeddings for Extremely Large Output Spaces"
ICLR 2015 Workshop Track.
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P. Mineiro and N. Karampatziakis
"A Randomized Algorithm for CCA"
NIPS 2014 Workshop on Distributed Machine Learning and Matrix Computations.
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L. Vilnis, N. Karampatziakis and P. Mineiro.
Generalized Eigenvectors for Large Multiclass Problems
NIPS 2014 Workshop on Representation and Learning Methods for Complex Outputs.
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F. Huang, S. Matusevych, A. Anandkumar, N. Karampatziakis and P. Mineiro
"Distributed Latent Dirichlet Allocation via Tensor Factorization"
NIPS 2014 Workshop on Optimization for Machine Learning.
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Z. Qin, V. Petricek, N. Karampatziakis, L. Li, J. Langford
"Efficient Online Bootstrapping for Large Scale Learning".
NIPS 2013 Workshop on Big Learning.
- N. Karampatziakis and P. Mineiro.
"Discriminative Features via Generalized Eigenvectors"
NIPS 2013 Workshop on Spectral Learning.
- N. Karampatziakis and P. Mineiro.
"Combining Structured and Unstructured Randomness in Large Scale PCA".
NIPS 2013 Workshop on Randomized Methods in Machine Learning.
- A. Beygelzimer, D. Hsu, N. Karampatziakis, J. Langford, T. Zhang.
"Efficient Active Learning".
ICML 2011 Workshop on On-line Trading of Exploration and Exploitation.
Slides. Poster.
- M. Dudik, D. Hsu, S. Kale, N. Karampatziakis, J. Langford, L. Reyzin, T. Zhang.
"Efficient Optimal Learning for Contextual Bandits".
ICML 2011 Workshop on On-line Trading of Exploration and Exploitation.
- D. Hsu, N. Karampatziakis, J. Langford.
"Parallel Online Learning".
NIPS 2010 Workshop on Learning on Cores, Clusters and Clouds.
Books/Chapters
- D. Hsu, N. Karampatziakis, J. Langford, A. Smola.
Parallel Online Learning.
In "Scaling Up Machine Learning", Cambridge University Press, 2011.
In Greek