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.
- R. Tandon, Q. Lei, A. G. Dimakis and N. Karampatziakis "Gradient Coding" NIPS 2016 Workshop on Machine Learning Systems.
- K. Jasinska and N. Karampatziakis "Log-time and Log-space Extreme Classification" NIPS 2016 Workshop on Extreme Classification.
- H. He, P. Mineiro and N. Karampatziakis "Active Information Acquisition" NIPS 2015 Workshop on Machine Learning From and For Adaptive User Technologies.
- P. Mineiro and N. Karampatziakis "Fast Label Embeddings for Extremely Large Output Spaces" ICLR 2015 Workshop Track.
- P. Mineiro and N. Karampatziakis "A Randomized Algorithm for CCA" NIPS 2014 Workshop on Distributed Machine Learning and Matrix Computations.
- L. Vilnis, N. Karampatziakis and P. Mineiro. Generalized Eigenvectors for Large Multiclass Problems NIPS 2014 Workshop on Representation and Learning Methods for Complex Outputs.
- 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.
- 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