Gábor Lugosi's preprints:

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

L. Devroye, L. Györfi, G. Lugosi, and H. Walk (2017). A nearest neighbor estimate of the residual variance. (PDF )

G. Lugosi, and S. Mendelson (2016). Regularization, sparse recovery, and median-of-means tournaments. (PDF )

M. Barigozzi, C. Brownlees, and G. Lugosi (2017). On the consequences of power-law behavior in partial correlation network models. (PDF )

C. Brownlees, G.S. Guðmundsson, and G. Lugosi (2016). Community detection in partial correlation network models. (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.