Optimization
Causal Fairness for Outcome Control
We next discuss two lines of related literature.
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz
Quantum Algorithms (VQAs) have emerged to obtain possible quantum advantage. In particular, how to effectively incorporate hard constraints in VQAs remains a critical and open question.
Assumption violations in causal discovery and the robustness of score matching
This work is also the first effort to benchmark the stability of causal discovery algorithms with respect to the values of their hyperparameters.
Optimization Can Learn Johnson Lindenstrauss Embeddings
Embeddings play a pivotal role across various disciplines, offering compact representations of complex data structures.
Adversarial Examples Might be A voidable: The Role of Data Concentration in Adversarial Robustness
However, these results can be too general to be applicable to natural data distributions. Indeed, humans are quite robust for tasks involving vision.
