Supplementary Material: Structured Prediction for Conditional Meta-Learning

The Appendix is organized in two main parts: Appendix A proves the formal version of Theorem 1 and provides additional details on the connection between structured prediction and conditional meta-learning investigated in this work. Appendix B provides additional details on the model hyperparameters and additional experimental evaluation. We first recall the general formulation of the structured prediction approach in [13], followed by showing how the conditional meta-learning problem introduced in Section 3 can be cast within this setting. A.1 General Structured Prediction In this section, we borrow from the notation of [13]. Consider X, Y and Z three spaces, respectively the input, label and output sets of our problem.