Research map / Learning theory and algorithms / Combinatorial and search optimization
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use ACVI instead of projection-based saddle-point methods | Constrained VIs with rotational vector fields · 2D constrained VI problems | zigzagging near constraints | Helped |
| Use ACVI instead of projection-based methods | Constrained VI solvers · 2D problems beyond the theoretical assumptions | distance to solution | Helped |
| Use ACVI instead of projection-based saddle-point methods | Constrained VIs with limit cycles · Forsaken game | escape from limit cycles | Helped |
| Use ACVI instead of projection-based methods | Bilinear game on the probability simplex · High-dimension bilinear game | time efficiency | Helped |
| Use ACVI instead of the corresponding projection-based baseline | GAN training with linear inequality constraints · MNIST | FID | Helped |
Closest papers by meaning
- A Primal-Dual Approach to Solving Variational Inequalities with General Constraints (ICLR 2024 · similarity 0.92)
- A Differentiable Interior-Point Method in Single Precision (NeurIPS 2026 · similarity 0.88)
- Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes (ICML 2024 · similarity 0.88)
- Barrier Algorithms for Constrained Non-Convex Optimization (ICML 2024 · similarity 0.87)
- Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities (NeurIPS 2024 · similarity 0.87)
- Expected Variational Inequalities (ICML 2025 · similarity 0.87)
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