2 papers
stat.ML2026
Tight Generalization Bounds for Noiseless Inverse Optimization
Pouria Fatemi, Hoomaan Maskan, Suvrit Sra +1
Inverse optimization (IO) seeks to infer the parameters of a decision-maker's objective from observed context--action data. We study noiseless IO, where demonstrations are generate…
math.OC2026
The Multi-Block DC Function Class: Theory, Algorithms, and Applications
Pouria Fatemi, Hoomaan Maskan, Alp Yurtsever +1
We present the Multi-Block DC (BDC) class, a rich class of structured nonconvex functions that admit a DC ("difference-of-convex") decomposition across parameter blocks. This multi…