G. Blower, A. Khaleghi, M. Kuchemann-Scales, Hasimoto frames and the Gibbs measure of periodic nonlinear Schrödinger Equation, arXiv:2205.12868, 2022.
A. Khaleghi, G. Lugosi, Inferring the mixing properties of an ergodic process, arXiv:2106.07054, 2021.
S. Grünewälder, A. Khaleghi, Oblivious Data for Fairness with Kernels, Journal of Machine Learning Research, (208): 1-36, 2021. [code]
A. Khaleghi, D. Ryabko, Clustering piecewise stationary processes, In Proceedings of the IEEE International Symposium
on Information Theory, 2020.
[pdf]
S. Grünewälder, A. Khaleghi, Approximations of the Restless Bandit Problem, Journal of Machine Learning Research, 20:1-37, 2019. [pdf]
A. Khaleghi, D. Ryabko, J. Mary, P. Preux, Consistent Algorithms for Clustering Time Series, Journal of Machine Learning Research, 17(3):1-32, 2016.
[pdf]
A. Khaleghi, D. Ryabko, Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series, Theoretical Computer Science, 620:119-133, 2016.
[pdf]
- - A shorter version of this article received the E.M. Gold Award for the best paper at the 24th International Conference on Algorithmic Learning Theory.
A. Khaleghi, D. Ryabko, Asymptotically Consistent Estimation of the Number of Change Points in Highly Dependent Time Series In Proceedings of the International Conference on Machine Learning, 2014. [pdf][code]
A. Khaleghi, D. Ryabko, Locating Changes in Highly-Dependent Data with an Unknown Number of Change-Points, In Proceedings of Neural Information Processing Systems, 2012. [pdf] [poster][code]
A. Khaleghi, D. Ryabko, J. Mary, P. Preux, Online Clustering of Processes, In Proceedings of Artificial Intelligence & Statistics, 2012.[pdf] [poster]
A. Khaleghi, D. Silva, F. R. Kschischang, Subspace Codes, Lecture Notes in Computer Science, 2009. [pdf]
A. Khaleghi, F. R. Kschischang, Projective Space Codes for the Injection Metric, In Proceedings of the Canadian Workshop on Information Theory 2009. [pdf][poster]
