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.
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.
D. Hsu, N. Karampatziakis, J. Langford, A. Smola. Parallel Online Learning. In “Scaling Up Machine Learning”, Cambridge University Press, 2011.
N. Karampatziakis. “Ανακάλυψη Προτύπων Πλοήγησης Χρησιμοποιώντας Εκμάθηση Γραμματικών“. (Summary of my thesis, pretty much a greek version of the paper in ICGI 2004). In Best Graduate and Undergraduate Theses, Annual Book 2004-2005, Department of Informatics and Telecommunications, University of Athens.
N. Karampatziakis. “Αλγόριθμοι Ευθυγράμμισης Τριδιάστατων Αντικειμένων“. (Summary of my Masters thesis) In Best Graduate and Undergraduate Theses, Annual Book 2005-2006, Department of Informatics and Telecommunications, University of Athens. Slides are available too
