Probabilistic low-rank matrix completion on finite alphabets. - Jean Lafond; Olga Klopp; Eric Moulines; Joseph Salmon (NIPS, 2014)

Estimation of matrices with row sparsity. - Olga Klopp; Alexandre B. Tsybakov (Probl. Inf. Transm., 2015)

Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames. - Geneviève Robin; Hoi-To Wai; Julie Josse; Olga Klopp; Eric Moulines (NeurIPS, 2018)

Link Prediction in the Stochastic Block Model with Outliers. - Solenne Gaucher; Olga Klopp; Geneviève Robin (CoRR, 2019)

Collective Matrix Completion. - Mokhtar Z. Alaya; Olga Klopp (J. Mach. Learn. Res., 2019)

Optimality of variational inference for stochasticblock model with missing links. - Solenne Gaucher; Olga Klopp (NeurIPS, 2021)

Outlier detection in networks with missing links. - Solenne Gaucher; Olga Klopp; Geneviève Robin (Comput. Stat. Data Anal., 2021)

Understanding the Effect of GCN Convolutions in Regression Tasks. - Juntong Chen; Johannes Schmidt-Hieber; Claire Donnat; Olga Klopp (AISTATS, 2025)

Low-Rank Graphon Estimation: Theory and Applications to Graphon Games. - Olga Klopp; Fedor Noskov (CoRR, 2025)

Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence. - Runshi Tang; Julien Chhor; Olga Klopp; Anru R. Zhang (CoRR, 2025)