Kernel Stein Discrepancy Descent | 0 | 0.34 | 2021 |
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction | 0 | 0.34 | 2021 |
The Wasserstein Proximal Gradient Algorithm | 0 | 0.34 | 2020 |
A Non-Asymptotic Analysis for Stein Variational Gradient Descent | 0 | 0.34 | 2020 |
Maximum Mean Discrepancy Gradient Flow. | 2 | 0.36 | 2019 |
A Structured Prediction Approach for Label Ranking. | 1 | 0.36 | 2018 |
On aggregation in ranking median regression. | 0 | 0.34 | 2018 |
Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach. | 0 | 0.34 | 2018 |
Ranking Median Regression: Learning to Order through Local Consensus. | 0 | 0.34 | 2018 |
Controlling the distance to a Kemeny consensus without computing it. | 0 | 0.34 | 2016 |