Gábor Lugosi's preprints:

G. Lugosi and S. Mendelson (2020). Multivariate mean estimation with direction-dependent accuracy. (PDF )

L. Devroye, G. Lugosi, S. Lattanzi and N. Zhivotovskiy (2020). On mean estimation for heteroscedastic random variables (PDF )

L. Addario-Berry, L. Devroye, G. Lugosi, and V. Velona (2020). Broadcasting on random recursive trees. (PDF )

G. Lugosi, J. Truszkowski, V. Velona, and P. Zwiernik (2019). Structure learning in graphical models by covariance queries. (PDF )

G. Lugosi and A. Mehrabian, (2018). Multiplayer bandits without observing collision information. (PDF )

K. Böröczky, G. Lugosi, and M. Reitzner, (2018). Facets of high-dimensional Gaussian polytopes. (PDF )

G. Lugosi, M. Markakis, and G. Neu (2017). On the hardness of inventory management with censored demand data. (PDF )

Conference papers with no journal version:

N. Cesa-Bianchi, Claudio Gentile, G. Lugosi, and G. Neu. Boltzmann exploration done right. NIPS, 2017. (PDF )

T. Liu, G. Lugosi, G. Neu and D. Tao. Algorithmic stability and hypothesis complexity. 34th International Conference on Machine Learning (ICML), 2017. (PDF )

Y. Seldin, and G. Lugosi, (2017). An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits. COLT 2017. (PDF )

Y. Seldin, and G. Lugosi, (2016). A Lower Bound for Multi-Armed Bandits with Expert Advice EWRL 2016. (PDF )

M. Alamgir, G. Lugosi, and U. von Luxburg (2014). Density-preserving quantization with application to graph. downsampling COLT 2014. (PDF )

N. Cesa-Bianchi, P. Gaillard, G. Lugosi, and G. Stoltz (2012). Mirror descent meets fixed share (and feels no regret). NIPS 2012. (PDF )

G. Lugosi, O.Papaspiliopoulos, and G. Stoltz (2009). Online Multi-task Learning with Hard Constraints. (PDF) COLT 2009.