Some properties of the bilevel programming problem
By J. Bard. 1991
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Pang Wei Koh
- Jacob Steinhardt
- Percy Liang
- Yoshua Bengio
- Dan Hendrycks
- Eric Wallace
- Nicholas Carlini
- Quoc V. Le
Citations in the corpus
- Stronger data poisoning attacks break data sanitization defenses (2018, methodology): “…the attacker’s goal as the following optimization problem: This constrained optimization formulation has been used in prior work (e.g., Steinhardt et al., 2017), and despite the approximations, it is still a bilevel problem that is non-convex and intractable to solve exactly (Bard, 1991, 1999).”
- Single-leader multi-follower games for the regulation of two-sided Mobility-as-a-Service markets (2021, methodology): “Solution approaches of bilevel programming problem Solving bilevel optimization is a challenging task since even the linear single-leader single-follower problems are NP-hard (Bard 1991). The most common solution approach for linear bilevel programming (LBP) problems is to replace the lower-level pr”
- Models for nuclear smuggling interdiction (2007, background): “(1997) and Bard (1998)) each player has an objective function, and these can differ because the players’ motives differ.”
- Annotated Bibliography on Bilevel Programming and Mathematical Programs with Equilibrium Constraints (2003, background): “Problems which fail to have an optimal solution can be found in [30,263].”