All Outputs (2)

Robust algorithms with polynomial loss for near-unanimity CSPs (2019)
Journal Article
Dalmau, V., Kozik, M., Krokhin, A., Makarychev, K., Makarychev, Y., & Oprsal, J. (2019). Robust algorithms with polynomial loss for near-unanimity CSPs. SIAM Journal on Computing, 48(6), 1763-1795. https://doi.org/10.1137/18m1163932

An instance of the Constraint Satisfaction Problem (CSP) is given by a family of constraints on overlapping sets of variables, and the goal is to assign values from a xed domain to the variables so that all constraints are satised. In the optimizatio... Read More about Robust algorithms with polynomial loss for near-unanimity CSPs.

Algebraic approach to promise constraint satisfaction (2019)
Presentation / Conference Contribution
Bulin, J., Krokhin, A., & Oprsal, J. (2019, June). Algebraic approach to promise constraint satisfaction. Presented at ACM Symposium on Theory of Computing (STOC), Phoenix, USA

The complexity and approximability of the constraint satisfaction problem (CSP) has been actively studied over the last 20 years. A new version of the CSP, the promise CSP (PCSP) has recently been proposed, motivated by open questions about the appro... Read More about Algebraic approach to promise constraint satisfaction.