Appendices A Further Related Works

ListNet for instance considers the predicted scores as parameters for the Plackett-Luce distribution [39, 40] and learns these scores via maximum likelihood estimation. Used in a PiRank surrogate loss of Section 3.1, the relaxation presented in Section 3.2 recovers the This finishes the proof by induction. Taking j = d, we obtain from Eq. 22 and the nature of permutation matrices that lim C14, we use "Set 1" which is the larger of the two provided For both datasets, we use the standard train/validation/test splits. The experiments were run on a server with 4 8-core Intel Xeon E5-2620v4 CPUs, 128 GB of RAM and 4 NVIDIA Telsa K80 GPUs. TensorFlow Ranking is licensed under the Apache License 2.0 MSLR-WEB30K is licensed under the Microsoft Research License Agreement (MSR-LA).