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ORCIDOlga Klopp
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2020 – today
- 2024
[i4]Juntong Chen, Johannes Schmidt-Hieber, Claire Donnat, Olga Klopp:
Understanding the Effect of GCN Convolutions in Regression Tasks. CoRR abs/2410.20068 (2024)- 2021
- [j3]Solenne Gaucher, Olga Klopp, Geneviève Robin
:
Outlier detection in networks with missing links. Comput. Stat. Data Anal. 164: 107308 (2021) - [c3]Solenne Gaucher, Olga Klopp:
Optimality of variational inference for stochasticblock model with missing links. NeurIPS 2021: 19947-19959
2010 – 2019
- 2019
- [j2]Mokhtar Z. Alaya, Olga Klopp:
Collective Matrix Completion. J. Mach. Learn. Res. 20: 148:1-148:43 (2019) - [i3]Solenne Gaucher, Olga Klopp, Geneviève Robin:
Link Prediction in the Stochastic Block Model with Outliers. CoRR abs/1911.13122 (2019) - 2018
- [c2]Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Eric Moulines:
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames. NeurIPS 2018: 5501-5511 - [i2]Mokhtar Z. Alaya, Olga Klopp:
Collective Matrix Completion. CoRR abs/1807.09010 (2018) - [i1]Geneviève Robin, Hoi-To Wai, Julie Josse, Olga Klopp, Eric Moulines:
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames. CoRR abs/1812.08398 (2018) - 2015
- [j1]Olga Klopp, Alexandre B. Tsybakov:
Estimation of matrices with row sparsity. Probl. Inf. Transm. 51(4): 335-348 (2015) - 2014
- [c1]Jean Lafond, Olga Klopp, Eric Moulines, Joseph Salmon:
Probabilistic low-rank matrix completion on finite alphabets. NIPS 2014: 1727-1735
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